Xin Yao's Publications
Hardcopy reprints are available for the following papers.
Refereed Journal Papers
- D. Yazdani, R. Cheng, D. Yazdani, J. Branke, Y. Jin and X. Yao,
``A
Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades ---
Part B,'' IEEE
Transactions on Evolutionary Computation, published online on 18 February 2021.
- S. Shi, N. Sharifi, Y. Chen and X. Yao, ``Tension-Relaxation In Vivo
Computing Principle for Tumor Sensitization and Targeting,'' IEEE
Transactions on Cybernetics, published online
on 18 February 2021.
- K. Tang, S. Liu, P. Yang and X. Yao, ``Few-shots parallel algorithm
portfolio construction via co-evolution,'' IEEE
Transactions on Evolutionary Computation, published online on 16 February 2021.
- Z. Su, G. Zhang, F. Yue, D. Zhan, M. Li, B. Li and X. Yao,
``Enhanced Constraint Handling for Reliability-Constrained Multi-objective
Testing Resource Allocation,'' IEEE
Transactions on Evolutionary Computation, published online on 29/1/2021.
- M. Li, T. Chen and X. Yao, ``How to Evaluate Solutions in Pareto-based
Search-Based Software Engineering? A Critical Review and Methodological
Guidance,'' IEEE
Transactions on Software Engineering, published online
on 9/11/2020.
- S. Shi, Y. Chen and X. Yao, ``In Vivo Computing Strategies for Tumor
Sensitization and Targeting,''
IEEE
Transactions on Cybernetics, published online
on 29/10/2020.
- S. Shi, Y. Chen and X. Yao, ``NGA-Inspired
Nanorobots-Assisted Detection of
Multifocal Cancer,'' IEEE
Transactions on Cybernetics, published online
on 15/10/2020.
- D. Yazdani, M.N. Omidvar, R. Cheng, J. Branke, T.T. Nguyen and X.
Yao, ``Benchmarking
Continuous Dynamic Optimization: Survey and Generalized Test
Suite,'' IEEE
Transactions on Cybernetics, published online on 14/8/2020.
- S. Liu, K. Tang and X. Yao, ``Generative Adversarial
Construction of Parallel Portfolios,'' IEEE
Transactions on Cybernetics, published online on
29/4/2020.
- H. Tong, C. Huang, L. L. Minku and X. Yao, ``Surrogate Models in
Evolutionary Single-Objective Optimization: A New Taxonomy and Experimental
Study,'' Information
Sciences, 562:414-437, July 2021.
- Y. Ni, X. Du, P. Ye, L. L. Minku, X. Yao, M. Harman and R. Xiao,
``Multi-objective
software performance optimisation at the architecture level using randomised
search rules,'' Information
and Software Technology, 135, July
2021, 106565.
- R. Li, X. Zhao, X. Zuo, J. Yuan and X. Yao, ``Memetic algorithm with
non-smooth penalty for capacitated arc routing problem,'' Knowledge-Based
Systems, 220, 23 May 2021, 106957.
- S. Shi, Y. Yan, J. Xiong, U.K. Cheang, X. Yao and Y. Chen,
``Nanorobots-assisted Natural Computation for Multifocal Tumor Sensitization
and Targeting,'' IEEE
Transactions on NanoBioscience, 20(2):154-165, April 2021.
- X. Xue, J. Chen and X. Yao, ``Efficient User Involvement
in Semiautomatic Ontology Matching,'' IEEE
Transactions on Emerging
Topics in Computational Intelligence, 5(2):214-224, April 2021.
- Y. Li, B. Jiang, H. Chen and X. Yao, ``Symbolic Sequence
Classification in the Fractal Space,'' IEEE
Transactions on Emerging Topics in Computational Intelligence,
5(2):168-177, April 2021.
- Y. Yao, H. Chen and X. Yao, ``Discriminative Learning in the
Model Space for Symbolic Sequence Classification, ''
IEEE
Transactions on Emerging
Topics in Computational Intelligence,
5(2):154-167, April 2021.
- C. Qian, C. Bian, Y. Yu, K. Tang and X. Yao, ``Analysis of noisy
evolutionary optimization when sampling fails,'' Algorithmica,
83:940-975, April 2021.
- B. Yuan, X. Lu, K. Tang and X. Yao, ``Cooperative Coevolution-based
Design Space Exploration for Multi-mode Dataflow Mapping,'' ACM
Transactions on Embedded Computing Systems, 20(3), Article 21,
25 pages. March 2021.
- Y. He, H. Li, S. Wang and X. Yao, ``Uncertainty analysis of wind power
probability density forecasting based on cubic spline interpolation and support
vector quantile regression,'' Neurocomputing, 430:121-137, March
2021.
- J. Liu, K. Tang and X. Yao, ``Robust Optimization in Uncertain
Capacitated Arc Routing Problems: Progresses and Perspectives,'' IEEE
Computational Intelligence Magazine, 16(1):63-82, February 2021.
- Y. Shi, C.T. Lin, Y.C. Chang, W. Ding, Y. Shi and X. Yao, ``Consensus
learning for
distributed fuzzy neural network in big data environment,'' IEEE
Transactions on Emerging
Topics in Computational Intelligence, 5(1):29-41, February 2021.
- M. Yang, A. Zhou, C. Li and X. Yao,
``An efficient recursive differential
grouping for large-scale continuous problems,'' IEEE
Transactions on Evolutionary Computation, 25(1):159-171, February 2021.
- K. Li, M. Liao, K. Deb, G. Min and X. Yao, ``Does Preference Always
Help? A
Holistic Study on Preference-Based Evolutionary Multiobjective Optimization
Using Reference Points,'' IEEE
Transactions on Evolutionary Computation,
24(6):1078-1096, December 2020.
- C. He, R. Cheng, C. Zhang, Y. Tian, Q. Chen and X. Yao, ``Evolutionary
large-scale
multiobjective optimization for ratio error estimation of voltage
transformers,'' IEEE
Transactions on Evolutionary Computation,
24(5):868-881, October 2020.
- Z. Su, G. Zhang, F. Yue, J. He, M. Li, B. Li and X. Yao,
``Finding the largest successful coalition under the strict goal preferences of
agents,'' ACM Transactions on
Autonomous and Adaptive Systems,
14(4):1-33, Article 15, September 2020.
- L. Zhen, D. Peng, W. Wang and X. Yao, ``Kernel truncated regression
representation for robust subspace clustering,'' Information
Sciences,
524:59-76, July 2020.
- T Chen, R Bahsoon, X Yao, ``Synergizing Domain Expertise With
Self-Awareness in Software Systems: A Patternized Architecture Guideline,''
Proceedings
of the IEEE, 108(7):1094-1126, July 2020.
- M. Li and X. Yao. ``What weights work for you? Adapting weights for any
Pareto front shape in decomposition-based evolutionary multiobjective
optimisation,'' Evolutionary
Computation, 28(2):227-253, Summer
2020.
- E. Fernandes, A. {de Carvalho} and X. Yao, ``Ensemble of Classifiers
based on MultiObjective Genetic Sampling for Imbalanced Data,'' IEEE
Transactions on Knowledge and Data Engineering,
32(6):1104-1115, June 2020.
- C. Huang, Y. Li and X. Yao, ``A survey of automatic parameter tuning
methods for metaheuristics,'' IEEE
Transactions on Evolutionary Computation, 24(2):201-216, April 2020.
- G. Zhang, Z. Su, M. Li, M. Qi, J. Jiang and X. Yao, "A Task-Oriented
Heuristic for Repairing Infeasible Solutions to Overlapping Coalition Structure
Generation," IEEE Transactions on Systems, Man, and Cybernetics:
Systems,
50(3):785-801, March 2020.
- B. Yuan, H. Chen and X. Yao,
``Toward Efficient Design Space Exploration
for Fault-tolerant Multiprocessor Systems,'' IEEE
Transactions on Evolutionary Computation, 24(1):157-169, February 2020.
- L. Zhen, M. Li and X. Yao,
``Objective Reduction for Visualising
Many-Objective Solution Sets,'' Information
Sciences,
512:278-294, February 2020.
- D. Yazdani, M. N. Omidvar, T. T. Nguyen, J. Branke and X. Yao,
``Scaling Up Dynamic Optimization Problems: A
Divide-and-Conquer Approach,'' IEEE
Transactions on Evolutionary Computation,
24(1):1-15, February 2020.
- R.M. Hierons, M. Li, X. Liu, J.A. Parejo, S. Segura and X. Yao,
``Many-objective
test suite generation for software product lines,'' ACM Transactions on
Software Engineering and Methodology, 29(1), Article 2, 46 pages.
January 2020.
- B. Yuan, B. Li, H. Chen, Z. Zeng and X. Yao, ``Multi-objective redundancy
hardening with optimal task mapping for independent tasks on multi-cores,''
Soft Computing, 24(2):981-995, January 2020.
- S. Shi, J. Xiong, Y. Zhou, T. Jiang, G. Zhu, X. Yao, U.K. Cheang and
Y. Chen, ``Microrobots
Based In Vivo Evolutionary Computation in Two-Dimensional
Microchannel Network,'' IEEE
Transactions on Nanotechnology, 19:71-75, 2020.
- D. H. Stolfi, E. Alba and X. Yao, ``Can I Park in the City Center?
Predicting Car Park Occupancy Rates in Smart Cities,'' Journal of
Urban Technology, 27(4):27-41, 2020.
- C. He, L. Li, Y. Tian, X. Zhang, R. Cheng, Y. Jin and X. Yao,
``Accelerating Large-scale
Multi-objective Optimization via Problem Reformulation,'' IEEE
Transactions on Evolutionary Computation, 23(6):949-961,
December 2019.
- C. Wang, C. Xu, X. Yao and D. Tao, ``Evolutionary generative
adversarial networks,'' IEEE
Transactions on Evolutionary Computation,
23(6):921-934, December 2019.
- N.T. Tam, H.T.T. Binh, D.A. Dung, P.N. Lan, B. Yuan and X. Yao,
``A hybrid clustering
and evolutionary approach for wireless underground sensor network lifetime
maximization,'' Information
Sciences, 504:372-393, December 2019.
- C. Qian, Y. Yu, K. Tang, X. Yao and Z.H. Zhou, ``Maximizing submodular
or monotone approximately submodular functions by multi-objective evolutionary
algorithms,'' Artificial
Intelligence, 275:279-294, October 2019.
- T. Chen, M. Li and X. Yao, ``Standing on the shoulders
of giants: Seeding
search-based multi-objective optimization with prior knowledge for software
service composition,'' Information
and Software Technology,
114:155-175, October 2019.
- M. A. Nayeem, M. M. Islam and X. Yao, ``Solving Transit Network Design
Problem Using Many-Objective Evolutionary Approach,'' IEEE
Transactions on Intelligent Transportation Systems,
20(10):3952-3963, October 2019.
- R. Cheng, M. N. Omidvar, A. H. Gandomi, B. Sendhoff, S. Menzel and
X. Yao, ``Solving Incremental
Optimization Problems via Cooperative Coevolution,'' IEEE
Transactions on Evolutionary Computation,
23(5):762-775, October 2019.
- W. Hong, K. Tang, A. Zhou, H. Ishibuchi and X. Yao, ``A Scalable
Indicator-Based Evolutionary Algorithm for Large-Scale Multi-Objective
Optimization,'' IEEE
Transactions on Evolutionary Computation,
23(3):525-537, June 2019.
- S. Y. Chong, P. Tino, J. He and X. Yao, "A New Framework for Analysis of
Coevolutionary Systems - Directed Graph Representation and Random Walks,"
Evolutionary Computation, 27(2):195-228, June 2019.
- K. Li, R. Chen, D. Savic and X. Yao, ``Interactive Decomposition
Multi-Objective Optimisation via Progressively Learned Value Functions,''
IEEE Transactions on Fuzzy Systems,
27(5):849-860, May 2019.
- B. Jiang, C. Li, M. {de Rijke}, X. Yao and H. Chen,
``Probabilistic Feature Selection and
Classification Vector Machine,''
ACM Transactions on Knowledge Discovery from
Data, 13(2), Article 21, April 2019.
- K. Li, R. Chen, G. Fu and X. Yao, "Two-Archive Evolutionary
Algorithm for Constrained Multi-Objective Optimization,''
IEEE
Transactions on Evolutionary Computation,
23(2):303-315, April 2019.
- M. Li and X. Yao, ``Quality Evaluation of Solution Sets in
Multiobjective Optimisation: A Survey,'' ACM Computing Surveys,
52(2), Article 26, March 2019.
- Z. Gong, H. Chen, B. Yuan and X. Yao, "Multiobjective Learning in
the Model Space for Time Series Classification,"
IEEE
Transactions on Cybernetics, 49(3):918-932, March 2019.
- B. Kazimipour, M.N. Omidvar, A.K. Qin, X. Li and X. Yao,
``Bandit-based cooperative
coevolution for tackling contribution imbalance in large-scale optimization
problems,'' Applied Soft
Computing, 76:265-281, March 2019.
- Y. Dai, R. Cheng, X. Yao and L. Liu, ``Hydrodynamic coefficients
identification of pitch and heave using multi-objective evolutionary
algorithm,'' Ocean
Engineering, 171:33-48, January 2019.
- L. Song, L.L. Minku and X. Yao, ``Software Effort Interval Prediction via
Bayesian Inference and Synthetic Bootstrap Resampling,'' ACM Transactions on Software Engineering and
Methodology (TOSEM), 28(1), 5, January 2019.
- R. Cheng, C. He, Y. Jin and X. Yao, ``Model-based evolutionary
algorithms: a short survey,'' Complex & Intelligent
Systems, 4(4):283-292, December 2018.
- K. Li, K. Deb and X. Yao,
"R-Metric: Evaluating the
Performance of Preference-Based Evolutionary Multi-Objective Optimization
Using Reference Points,"
IEEE
Transactions on Evolutionary Computation, 22(6):821-835,
December 2018.
- K. Li, R. Chen, G. Min and X. Yao, "Integration of Preferences in
Decomposition Multi-Objective Optimization,"
IEEE
Transactions on Cybernetics, 48(12):3359-3370, December 2018.
- R. G. F. Soares, H. Chen and X. Yao, "Efficient Cluster-Based
Boosting for Semisupervised Classification,"
IEEE
Transactions on Neural Networks and Learning Systems,
29(11):5667-5680, November 2018.
- H. Chen, B. Jiang and X. Yao, "Semisupervised Negative
Correlation Learning,"
IEEE
Transactions on Neural Networks and Learning Systems,
29(11):5366-5379, November 2018.
- Y. Sun, K. Tang, Z. Zhu and X. Yao, "Concept Drift Adaptation by
Exploiting Historical Knowledge,"
IEEE
Transactions on Neural Networks and Learning Systems,
29(10):4822-4832, October 2018.
- S. Wang, L. L. Minku and X. Yao, "A Systematic Study of
Online Class Imbalance Learning With Concept Drift," IEEE
Transactions on Neural Networks and Learning Systems,
29(10):4802-4821, October 2018.
- Z. Su, G. Zhang, F. Yue, L. Chang, J. Jiang and X. Yao, "SNR-Constrained
Heuristics for Optimizing the Scaling Parameter of Robust Audio
Watermarking,"
IEEE
Transactions on Multimedia, 20(10):2631-2644, Oct. 2018.
- R. Cheng, M. Li, K. Li and X. Yao, "Evolutionary Multiobjective
Optimization Based Multimodal Optimization: Fitness Landscape Approximation and
Peak Detection," IEEE
Transactions on Evolutionary Computation,
22(5):692-706, October 2018.
- M. Wang, B. Li, G. Zhang and X. Yao, "Population Evolvability:
Dynamic Fitness Landscape Analysis for Population-based Metaheuristic
Algorithms," IEEE
Transactions on Evolutionary Computation, 22(4):550-563,
August 2018.
- T. Chen, K. Li, R. Bahsoon and X. Yao, "FEMOSAA: Feature Guided and Knee
Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime,"
ACM Transactions on Software Engineering and
Methodology (TOSEM), 27(2),
July 2018, Article No. 5.
- T. Chen, R. Bahsoon and X. Yao, "A survey and taxonomy of self-aware and
self-adaptive cloud autoscaling systems," ACM Computing Surveys,
51(3), Article 61, June 2018.
- H. Ma, Z. Li, M. Tayarani, G. Lu, H. Xu and X. Yao,
Model-based computational
intelligence multi-objective optimization for
gasoline direct injection engine calibration," Proceedings of the
Institution of Mechanical Engineers, Part D: Journal of Automobile
Engineering. Published Online on June 4, 2018.
- C. Qian, Y. Yang, K. Tang, Y. Jin, X. Yao and Z. Zhou, ``On the
Effectiveness of Sampling for Evolutionary Optimization in Noisy
Environments,'' Evolutionary
Computation, 26(2):237-267, Summer 2018.
- X. Lu, S. Menzel, K. Tang and X. Yao, "Cooperative
Co-evolution based Design Optimisation: A Concurrent Engineering
Perspective," IEEE
Transactions on Evolutionary Computation,
22(2):173-188, April 2018.
- R. Chen, K. Li and X. Yao, Dynamic Multi-Objectives Optimization with a
Changing Number of Objectives," IEEE
Transactions on Evolutionary Computation, 22(1):157-171,
February 2018.
- P. Yang, K. Tang and X. Yao, ``Turning High-dimensional
Optimization into Computationally Expensive Optimization,'' IEEE
Transactions on Evolutionary Computation,
22(1):143-156, February 2018.
- M. Li, C. Grosan, S. Yang, X. Liu and X. Yao, ``Multi-Line distance
minimization: A visualized many-objective test problem suite,'' IEEE
Transactions on Evolutionary Computation,
22(1):61-78, February 2018.
- R. G. F. Soares, H. Chen and X. Yao, "A Cluster-Based Semisupervised
Ensemble for Multiclass Classification," IEEE Transactions on Emerging
Topics in Computational Intelligence, 1(6):408-420, December 2017.
- B. Jiang, H. Chen, B. Yuan and X. Yao, "Scalable Graph-Based
Semi-Supervised Learning through Sparse Bayesian Model,"
IEEE Transactions on Knowledge and
Data Engineering, 29(12):2758-2771, December 2017.
- G. Zhang, Z. Su, M. Li, F. Yue, J. Jiang and X. Yao, "Constraint
Handling in NSGA-II for Solving Optimal Testing Resource Allocation
Problems," IEEE
Transactions on Reliability, 66(4):1193-1212,
December 2017.
- B. Yuan, H. Chen and X. Yao, "Optimal relay placement for lifetime
maximization in wireless underground sensor networks," Information
Sciences, 418-419:463-479, December 2017.
- M. N. Omidvar, M. Yang Y. Mei, X. Li and X. Yao, DG2: A Faster and
More Accurate Differential Grouping for Large-Scale Black-Box
Optimization,"
IEEE
Transactions on Evolutionary Computation, 21(6):929-942,
December 2017.
- H. Ma, Z. Li, M. Tayarani, G. Lu, H. Xu and X. Yao,
Computational Intelligence Nonmodel-Based Calibration Approach for Internal
Combustion Engines," Journal of Dynamic Systems, Measurement, and
Control. 140(4), 041002 (November 10, 2017).
- K. Tang, J. Wang, X. Li and X. Yao, A scalable approach to capacitated
arc routing problems based on hierarchical decomposition," IEEE
Transactions on Cybernetics, 47(11):3928-3940, November 2017.
- M. Li, L. Zhen and X. Yao, How to Read Many-Objective Solution Sets in
Parallel Coordinates," IEEE
Computational Intelligence Magazine,
12(4):88-100, November 2017.
- L. L. Minku and X. Yao, ``Which models of the past
are relevant to the
present? A software effort estimation approach to exploiting useful past
models,'' Automated
Software Engineering, 24(3):499-542, September
2017.
- M. Yang, M. N. Omidvar, C. Li, X. Li, Z. Cai, B. Kazimipour and X.
Yao,
``Efficient Resource
Allocation in Cooperative Co-evolution for Large-scale
Global Optimization,'' IEEE
Transactions on Evolutionary Computation,
21(4):493-505, August 2017.
- R. Akay, A. Basturk, A. Kalinli and X. Yao, Parallel population-based
algorithm portfolios: An empirical study," Neurocomputing, 247:115-125, 19 July 2017.
- C. Gao, G. Lu, X. Yao and J. Li, ``An Iterative Pseudo-gap
Enumeration
Approach for the Multidimensional Multiple-choice Knapsack Problem,''
European
Journal of Operational Research, 260(1):1-11, 1 July 2017.
- J. He and X. Yao, ``Average Drift Analysis and
Population Scalability,''
IEEE
Transactions on Evolutionary Computation,
21(3):426-439, June 2017.
- H. Wang, Y. Jin and X. Yao, ``Diversity Assessment in
Many-Objective Optimization,'' IEEE
Transactions on Cybernetics, 47(6):1510-1522,
June 2017.
- J. Huang, J. Liu and X. Yao, ``A multi-agent evolutionary
algorithm for software module clustering problems,'' Soft
Computing, 21(12):3415-3428, June 2017.
Also available here.
- H. Wang, S. He and X. Yao, Nadir point estimation for many-objective
optimization problems based on emphasized critical regions,"
Soft Computing,
21(9):2283-2295, May 2017.
- R. Cheng, M. Li, Y. Tian, X. Zhang, S. Yang, Y. Jin and X. Yao,
``A
benchmark test suite for evolutionary many-objective optimization,''
Complex \& Intelligent
Systems, 3(1):67-81, March 2017.
- K. Klamroth, S. Mostaghim, B. Naujoks, S. Poles, R. Purshouse,
G. Rudolph, S. Ruzika, S. Sayin, M. M. Wiecek and X. Yao,
``Multiobjective optimization
for interwoven systems,'' Journal of
Multi-Criteria Decision Analysis, 24(1-2):71-81,
January-April 2017.
- B. Li, K. Tang, J. Li and X. Yao, ``Stochastic Ranking
Algorithm for Many-Objective Optimization Based on Multiple Indicators,''
IEEE
Transactions on Evolutionary Computation,
20(6):924-938, December 2016.
(The 33rd
most frequently downloaded documents for IEEE TEVC according to the usage
statistics in April 2016. Five of my papers appeared in the top 50 most
downloaded documents for
IEEE TEVC in April 2016, six in March 2016, seven in February 2016, four in
January 2016.)
- S. He, G. Jia, Z. Zhu, D. A. Tennant, Q. Huang, K. Tang, M. Musolesi,
J. K. Heath, and X. Yao, ``Cooperative Co-evolutionary Module
Identification with Application to Cancer Disease Module Discovery,'' IEEE
Transactions on Evolutionary Computation, 20(6):874-891,
December 2016.
- Z. Yang, B. Sendhoff, K. Tang and X. Yao, ``Target shape design
optimization by evolving B-splines with cooperative coevolution,''
Applied
Soft Computing, 48:672-682, November 2016.
- P. A. Consoli, Y. Mei, L. L. Minku and X. Yao, ``Dynamic selection of
evolutionary operators based on online learning and fitness landscape
analysis.'' Soft
Computing, 2010:3889-3914, October 2016.
- B. Yuan, B. Li, H. Chen and X. Yao, ``Defect- and
Variation-tolerant Logic Mapping in Nano-crossbar Using Bipartite Matching and
Memetic Algorithm,'' IEEE
Transactions on Very Large Scale Integration (VLSI) Systems,
24(9):2813-2826, September 2016.
- H. Wang, Q. Zhang, L. Jiao and X. Yao, ``Regularity Model for Noisy
Multiobjective Optimization,'' IEEE
Transactions on Cybernetics, 46(9):1997-2009, September
2016.
Also available here.
- B. Xue, M. Zhang, W. Browne and X. Yao, ``A Survey on Evolutionary
Computation Approaches to Feature Selection,'' IEEE
Transactions on Evolutionary Computation,
20(4):606-626, August 2016.
Also available here.
- X. Shen, L. L. Minku, R. Bahsoon and X. Yao, ``Dynamic
Software Project Scheduling through a Proactive-rescheduling Method,'' IEEE
Transactions on Software Engineering, 42(7):658-686, July
2016.
Available here.
- Y. Sun, K. Tang, L. L. Minku, S. Wang and X. Yao, ``Online Ensemble
Learning of Data Streams with Gradually Evolved Classes,'' IEEE Transactions on Knowledge and
Data Engineering, 28(6):1532-1545, June 2016.
- H. Wang and X. Yao, ``Objective Reduction Based
on Nonlinear Correlation Information Entropy,''
Soft Computing,
20(6):2393-2407, June 2016.
Also available here.
- A. Sen, M. M. Islam, K. Murase and X. Yao, ``Binarization With
Boosting and Oversampling for Multiclass Classification,'' IEEE
Transactions on Cybernetics, 46(5):1078-1091, May 2016.
Also available here.
- Y. Mei, M. N. Omidvar, X. Li and X. Yao, ``Competitive
Divide-and-Conquer Algorithm for Unconstrained Large Scale Black-Box
Optimization,'' ACM
Transactions on Mathematical Software, 42(2), Article 13, 24
pages, April 2016.
Also available here.
- Y. Yuan, H. Xu, B. Wang, B. Zhang and X. Yao, ``Balancing Convergence
and Diversity in Decomposition-Based Many-Objective Optimizers,'' IEEE
Transactions on Evolutionary Computation,
20(2):180-198, April 2016.
(The 2nd most frequently downloaded
documents for IEEE TEVC according to the usage statistics in April
2016.)
Also available here.
The code is here.
- K. Tang, P. Yang and X. Yao, ``Negatively Correlated
Search,'' IEEE
Journal on Selected Areas in Communications, 34(3):542-550,
March 2016.
- J. Wang, K. Tang, J. A. Lozano and X. Yao, "Estimation of
Distribution Algorithm with Stochastic Local Search for Uncertain Capacitated
Arc Routing Problems," IEEE
Transactions on Evolutionary Computation, 20(1):96-109,
February 2016.
Also available here.
- Y. Yuan, H. Xu, B. Wang and X. Yao, ``A New Dominance Relation
Based Evolutionary Algorithm for Many-Objective Optimization,''
IEEE
Transactions on Evolutionary Computation, 20(1):16-37, February
2016. (The 35th most frequently downloaded
documents for IEEE TEVC according to the usage statistics in April
2016.)
Also available here.
The code is here.
You need to unzip it first.
- M. M. Rahman, M. M. Islam, K. Murase and X. Yao, ``Layered Ensemble
Architecture for Time Series Forecasting,'' IEEE
Transactions on Cybernetics, 46(1):270-283, January 2016.
- Y. Mei, X. Li and X. Yao, ``On Investigation of
Interdependence Between Sub-problems of the Travelling Thief Problem,''
Soft Computing,
20(1):157-172, January 2016.
- W. Fang, S. Yang and X. Yao, ``A Survey on Problem Models
and Solution Approaches to Rescheduling in Railway Networks,''
IEEE Transactions on
Intelligent Transportation Systems, 16(6):2997-3016, December
2015.
Also available here.
- C. Gao, X. Yao, T. Weise and J. Li, ``An efficient
local search heuristic with row weighting for the unicost set covering
problem,'' European
Journal of Operational Research,
246(3):750-761, 1 November 2015.
Also available here.
- M.-H. Tayarani-N., X. Yao and H. Xu, ``Meta-heuristic Algorithms in Car
Engine Design: A Literature Survey, '' IEEE
Transactions on Evolutionary Computation,
19(5):609-629, October 2015. (The 19th most frequently downloaded
documents for IEEE TEVC according to the usage statistics in April2016.)
- H. Fu, B. Sendhoff, K. Tang and X. Yao, ``Robust Optimization Over
Time: Problem Difficulties and Benchmark Problems,'' IEEE
Transactions on Evolutionary Computation, 19(5):731-745,
October 2015.
- L. Cai, S. Qu, Y. Yuan and X. Yao, ``A clustering-ranking
method for many-objective optimization,'' Applied Soft
Computing, 35:681-694, October 2015.
Also here.
- P. R. Lewis, A. Chandra, F. Faniyi, K. Glette, T. Chen, R. Bahsoon,
J. Torresen and X. Yao, ``Architectural
Aspects of Self-Aware and
Self-Expressive Computing Systems: From Psychology to Engineering,''
IEEE
Computer, 48(8):62-70, August 2015.
- B. Li, J. Li, K. Tang and X. Yao, ``Many-Objective Evolutionary
Algorithms: A Survey,'' ACM Computing
Surveys, 48(1), Article
13, 35 pages, September 2015.
Also available here.
- H. Wang, L. Jiao and X. Yao, ``Two_Arch2: An Improved
Two-Archive Algorithm for Many-Objective Optimization,'' IEEE
Transactions on Evolutionary Computation, 19(4):524-541, August
2015.
The matlab codes for the algorithm are
available for download. You should save
the file to your local disk first and then open it, since it's a compressed
directory.
- M.-M. Memmah, F. Lescourret, X. Yao and C. Lavigne, ``Metaheuristics for
agricultural land use optimization. A review,'' Agronomy for
Sustainable Development, 35(3):975-998, July 2015.
Also available here.
- J. Torresen, C. Plessl and X. Yao, ``Self-Aware and Self-Expressive
Systems,''
IEEE
Computer, 48(7):18-20, July 2015.
- P. R. Lewis, L. Esterle, A. Chandra, B. Rinner, J. Torresen and
X. Yao, ``Static, Dynamic and Adaptive
Heterogeneity in Distributed Smart Camera Networks,''
ACM Transactions on
Autonomous and Adaptive Systems (TAAS), 10(2), Article No. 8,
30 pages, June 2015.
Also available here.
- X. Du, Y. Ni, D. Xie, X. Yao, P. Ye and R. Xiao, ``
The time complexity
analysis of a class of gene expression programming,''
Soft Computing,
19(6):1611-1625, June 2015.
Also available here.
- M. Perez-Ortiz, P.A. Gutierrez, C. Hervas-Martinez and X. Yao,
``Graph-Based Approaches for Over-sampling
in the context of Ordinal Regression,'' IEEE Transactions on Knowledge and
Data Engineering, 27(5):1233-1245, May 2015.
- S. Wang, L. L. Minku and X. Yao, ``Resampling-Based Ensemble Methods for
Online Class Imbalance Learning,'' IEEE Transactions on Knowledge
and Data Engineering, 27(5):1356-1368, May 2015.
- B. Yuan, B. Li, H. Chen and X. Yao, ``A New Evolutionary Algorithm with
Structure Mutation for the Maximum Balanced Biclique Problem,'' IEEE
Transactions on Cybernetics, 45(5):1040-1053, May 2015.
- P. C. Roy, M. M. Islam, K. Murase and X. Yao, ``Evolutionary Path
Control Strategy for Solving Many-Objective Optimization Problem'',
IEEE Transactions on
Cybernetics, 45(4):702-715, April 2015.
- J. He, T. Chen and X. Yao, ``On the Easiest and Hardest
Fitness Functions,'' IEEE
Transactions on Evolutionary Computation, 19(2):295-305, April
2015.
- P. Wang, M. Emmerich, R. Li, K. Tang, T. Baeck and X. Yao,
``Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver
Operating Characteristic Performance,'' IEEE
Transactions on Evolutionary Computation, 19(2):188-200, April
2015.
- X. Yang, K. Tang and X. Yao, ``A Learning-to-Rank Approach to
Software Defect Prediction,'' IEEE
Transactions on Reliability, 64(1):234-246, March 2015.
- X. Shen and X. Yao, ``Mathematical modelling and
multi-objective evolutionary algorithms applied to dynamic flexible job shop
scheduling problems,'' Information
Sciences, 298:198-224, 20 March 2015.
- S. He, H. Chen, Z. Zhu, D.G. Ward, H.J. Cooper, M.R. Viant, J.K. Heath
and X. Yao, ``Robust twin boosting for feature selection from high-dimensional
omics data with label noise,'' Information
Sciences, 291:1-18, 10 January 2015.
- S.-M. Lee, H. Kim, H. Myung and X. Yao, ``Cooperative
Coevolutionary Algorithm-based Model Predictive Control Guaranteeing
Stability of Multi-Robot Formation,'' IEEE
Transactions on Control Systems and Technology, 23(1):37-51,
January 2015.
- U. Bhowan, M. Johnston, M. Zhang and X. Yao, ``Reusing Genetic
Programming for Ensemble Selection in Classification of Unbalanced Data,''
IEEE
Transactions on Evolutionary Computation,
18(6):893-908, December 2014.
Preprint is available.
- B. Yuan, B. Li, T. Weise and X. Yao, ``A New Memetic Algorithm with
Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-based
Nano-architectures,'' IEEE
Transactions on Evolutionary Computation,
18(6):846-859, December 2014.
- L. Li, X. Yao, R. Stolkin, M. Gong and S. He ``An Evolutionary
Multi-objective Approach to Sparse Reconstruction,'' IEEE
Transactions on Evolutionary Computation,
18(6):827-845, December 2014.
- X. Lu, K. Tang, B. Sendhoff and X. Yao, ``A New Self-adaptation
Scheme for Differential Evolution,'' Neurocomputing,
146:2-16, 25 December 2014.
- K. Tang, F. Peng, G. Chen and X. Yao, ``Population-based Algorithm
Portfolios with automated constituent algorithms selection,''
Information
Sciences, 279:94-104, 20 September 2014.
- T. Weise, R. Chiong, J. Lassig, K. Tang, S. Tsutsui, W. Chen,
Z. Michalewicz and X. Yao, ``Benchmarking Optimization
Algorithms: An Open Source Framework for the Traveling Salesman Problem,''
IEEE
Computational Intelligence Magazine, 9(3):40-52, August 2014.
- H. Chen, P. Tino and X. Yao, ``Cognitive fault diagnosis in Tennessee
Eastman Process using learning in the model space,''
Computers
and Chemical Engineering, 67:33-42, 5 August 2014.
- Y. Mei, X. Li and X. Yao, ``Cooperative Co-evolution with Route Distance
Grouping for Large-Scale Capacitated Arc Routing Problems,'' IEEE
Transactions on Evolutionary Computation, 18(3):435-449, June
2014.
- M. N. Omidvar, X. Li, Y. Mei and X. Yao, ``Cooperative Co-evolution with
Differential Grouping for Large Scale Optimization,'' IEEE
Transactions on Evolutionary Computation, 18(3):378-393, June
2014. (The 48th most frequently downloaded
documents for IEEE TEVC according to the usage statistics in April
2016.)
- J. Quevedo, H. Chen, M. A. Cuguero, P. Tino, V. Puig, D. Garcia,
R. Sarrate and X. Yao, ``Combining Learning in Model Space
Fault Diagnosis with Data Validation/Reconstruction: Application to the
Barcelona Water Network,'' Engineering
Applications of Artificial Intelligence, 30:18-29, April 2014.
- T. Weise, M. Wan, P. Wang, K. Tang, A. Devert and X. Yao, ``Frequency
Fitness Assignment,'' IEEE
Transactions on Evolutionary Computation
18(2):226-243, April 2014.
Also available here.
- J. Sun, Q. Zhang and X. Yao, ``Meta-Heuristic Combining Prior Online and
Offline Information for the Quadratic Assignment Problem,''
IEEE
Transactions on Cybernetics, 44(3):429-444, March 2014.
- Y. Liu, D. A. Tennant, Z. Zhu, J. K. Heath, X. Yao and S. He,
``DiME: A Scalable
Disease Module Identification Algorithm with Application to
Glioma Progression,'' PLOS
ONE, 9(2):e86693, 11 February 2014.
- P. Wang, K. Tang, T. Weise, E. P. K. Tsang and X. Yao, ``Multiobjective
Genetic Programming for Maximizing ROC Performance,''
Neurocomputing,
125:102-118, 11 February 2014.
- H. Chen, P. Tino and X. Yao, ``Efficient Probabilistic Classification
Vector Machine with Incremental Basis Function Selection,'' IEEE
Transactions on Neural Networks and Learning Systems,
25(2):356-369, February 2014.
- S. Barua, M. M. Islam, X. Yao and K. Murase, ``MWMOTE --- Majority Weighted
Minority Oversampling Technique for Imbalanced Data Set Learning,''
IEEE Transactions on Knowledge
and Data Engineering, 26(2):405-425, February 2014.
- A. Arcuri and X. Yao, "Co-evolutionary automatic
programming for software development," Information
Sciences, 259:412-432, February 2014.
- P. K. Lehre and X. Yao, "Runtime Analysis of the (1+1) EA on
Computing Unique Input Output Sequences," Information
Sciences, 259:510-531, February 2014.
Also available here.
- X. Lu, K. Tang, B. Sendhoff and X. Yao, ``A review of concurrent
optimisation methods,'' International
Journal of Bio-Inspired Computation, 6(1):22-31, January
2014.
Also available here.
- L. L. Minku, D. Sudholt and X. Yao, ``Improved Evolutionary Algorithm
Design for the Project Scheduling Problem Based on Runtime Analysis,''
IEEE Transactions on Software Engineering, 40(1):83-102,
January 2014. (The 17th most frequently downloaded documents for IEEE TSE
according to the usage statistics for the month of April 2016; 40th in 02/2016;
25th in 01/2016; 14th in 12/2015; 24th in 11/2015.)
- L. Esterle, P. R. Lewis, X. Yao and B. Rinner, ``Socio-Economic
Vision Graph Generation and Handover in Distributed Smart Camera Networks,''
ACM Transactions on Sensor Networks,
10(2), Article No. 20, January 2014.
Also available as a preprint.
- H. Chen, P. Tino, A. Rodan and X. Yao, ``Learning in the Model
Space for Cognitive Fault Diagnosis,'' IE
EE
Transactions on Neural Networks and Learning Systems,
25(1):124-136, January 2014.
- H. Wang and X. Yao, ``Corner
Sort for Pareto-based Many-Objective Optimization,'' IEEE
Transactions on Cybernetics, 44(1):92-102, January 2014.
Also available here. The code is
available here. We'd appreciate your
acknowledgement if you use the code.
- S. Wang, L. Minku and X. Yao, ``Online class imbalance
learning and its applications in fault detection,''
International
Journal of Computational Intelligence and Applications,
12(4):1340001 (19 pages), December 2013.
- W. Dong, T. Chen, P. Tino and X. Yao, ``Scaling Up Estimation of
Distribution Algorithms for Continuous Optimization,''
IEEE
Transactions on Evolutionary Computation, 17(6):797-822,
December 2013.
- F. Fernandez-Navarro, P. Campoy-Munoz, M. de la Paz-Marin,
C. Hervas-Martnez and Xin Yao, ``Addressing the EU sovereign
ratings using an ordinal regression approach,'' IEEE
Transactions on Cybernetics, 43(6):2228-2240, December 2013.
- F. Fernandez-Navarro, P. A. Gutierrez, C. Hervas-Martinez, and
X. Yao, ``Negative Correlation
Ensemble Learning for Ordinal Regression,'' IEEE
Transactions on Neural Networks and Learning Systems,
24(11):1836-1849, November 2013.
- L. L. Minku and X. Yao, ``Software Effort Estimation as a
Multi-objective Learning Problem,'' ACM
Transactions on Software Engineering and Methodology, 22(4),
Article No. 35, October 2013, 32 pages.
Also available here.
- L. L. Minku and X. Yao, ``Ensembles and Locality: Insight on
Improving Software Effort Estimation,'' Information and Software
Technology, 55(8):1512-1528, August 2013.
- S. Wang and X. Yao, ``Using
Class Imbalance Learning for Software Defect Prediction,'' IEEE
Transactions on Reliability, 62(2):434-443, June 2013.
Also available here.
- U. Bhowan, M. Johnston, M. Zhang and X. Yao, ``Evolving Diverse Ensembles
using Genetic Programming for Classification with Unbalanced Data,'' IEEE
Transactions on Evolutionary Computation, 17(3):368-386, June
2013. (2015 IEEE Transactions on Evolutionary Computation Outstanding Paper
Award.)
Preprint is available.
- M. Lin, K. Tang and X. Yao, ``A Dynamic Sampling Approach
to Training Neural Networks for Multi-class Imbalance Classification,''
IEEE
Transactions on Neural Networks and Learning Systems,
24(4):647-660, April 2013.
- P. Tino, S. Y. Chong and X. Yao, ``Complex Coevolutionary
Dynamics --- Structural Stability and Finite Population Effects,'' IEEE
Transactions on Evolutionary Computation,
17(2):155-164, April 2013.
- Y. Jin, K. Tang, X. Yu, B. Sendhoff and X. Yao, ``A framework
for finding robust optimal solutions over time,'' Memetic
Computing, 5(1):3-18, March 2013.
- S. Wang and X. Yao, ```Relationships Between Diversity
of Classification Ensembles and Single-Class Performance Measures,'' IEEE Transactions on Knowledge and
Data Engineering, 25(1):206-219, January 2013.
Preprint is available.
- T. T. Nguyen and X. Yao, ``Continuous Dynamic Constrained
Optimisation --- The Challenges,'' IEEE
Transactions on Evolutionary Computation,
16(6):769-786, December 2012.
- Z. Yang, X. Li, C. Bowers, T. Schnier, K. Tang and X. Yao,
``An Efficient
Evolutionary Approach to Parameter Identification in a Building Thermal
Model,'' IEEE
Transactions on Systems, Man, and Cybernetics --- Part C.
42(6):957-969, November 2012.
- R. G. F. Soares, H. Chen and X. Yao, ``Semi-supervised
Classification with Cluster Regularisation,'' IEEE Transactions on Neural
Networks and Learning Systems, 23(11): 1779-1792, November
2012.
- J. Whitacre, P. Rohlfshagen, A. Bender and X. Yao, ``Evolutionary
Mechanics: new engineering principles for the emergence of flexibility in
a dynamic and uncertain world,'' Natural
Computing, 11(3):431-448, September 2012.
Also available here.
- S. Wang and X. Yao, ``Multi-Class Imbalance Problems:
Analysis and Potential Solutions,''
IEEE
Transactions on Systems, Man and Cybernetics, Part B,
42(4):1119-1130, August 2012.
Preprint is available.
- T. Chen, K. Tang, G. Chen and X. Yao, "A Large Population Size
Can Be Unhelpful in Evolutionary Algorithms," Theoretical Computer
Science, 436:54-70, June 2012.
Also available here.
- M. S. Alam, M. M. Islam, X. Yao and K. Murase, ``Diversity Guided
Evolutionary Programming: A novel approach for continuous optimization,''
Applied Soft
Computing, 12(6):1693-1707, June 2012.
- X. Li and X. Yao, ``Cooperatively Coevolving Particle Swarms for
Large Scale Optimization,'' IEEE
Transactions on Evolutionary Computation, 16(2):210-224, April
2012.
Also available here.
- P. K. Lehre and X. Yao, ``On the Impact of Mutation-Selection
Balance on the Runtime of Evolutionary Algorithms,'' IEEE Transactions on
Evolutionary Computation, 16(2):225-241, April 2012.
Also available here.
- Y. Yu, X. Yao and Z.-H. Zhou, ``On the approximation ability of
evolutionary optimization with application to minimum set cover,''
Artificial
Intelligence, 180-181:20-33, April 2012.
- L. L. Minku and X. Yao, "DDD: A New Ensemble Approach For Dealing
With Concept Drift,'' IEEE
Transactions on Knowledge and Data Engineering, 24(4):619-633,
April 2012.
Also available here.
- S. Y. Chong, P. Ti\v{n}o, D. C. Ku and X. Yao, ``Improving
Generalization Performance in Co-evolutionary Learning,''
IEEE Transactions on
Evolutionary Computation, 16(1):70-85,
February 2012.
Also available here.
- J. Tate, B. Woolford-Lim, I. Bate and X. Yao, ``Evolutionary and
Principled Search Strategies For Sensornet Protocol Optimisation,''
IEEE
Transactions on Systems, Man and Cybernetics, Part B,
42(1):163-180, February 2012.
- J. Niu, K. Cai, S. Parsons, M. Fasli, X. Yao, ``
A grey-box approach to
automated mechanism design,'' Electronic Commerce Research and
Applications, 11(1):24-35, January/February 2012.
- Y. Mei, K. Tang and X. Yao, ``A Memetic Algorithm for
Periodic Capacitated Arc Routing Problem,''
IEEE
Transactions on Systems, Man and Cybernetics, Part B,
41(6):1654-1667, December 2011.
Also available here.
- Z. Yang, K. Tang and X. Yao, "Scalability of Generalized
Adaptive Differential Evolution for Large-Scale Continuous Optimization,"
Soft Computing,
15(11):2141-2155, November 2011.
Also available here.
- M. S. Alam, M. M. Islam, X. Yao and K. Murase, "Recurring Two-Stage
Evolutionary Programming: A Novel Approach for Numeric Optimization,"
IEEE
Transactions on Systems, Man and Cybernetics, Part B,
41(5):1352-1365, October 2011.
- P. K. Lehre and X. Yao, "Crossover can be
constructive when computing unique inputoutput sequences," Soft
Computing. 15(9):1675-1687, September 2011.
Also available here.
- P. Rohlfshagen and X. Yao, ``Dynamic Combinatorial Optimisation
Problems: An Analysis of the Subset Sum Problem,'' Soft
Computing. 15(9):1723-1734, September 2011.
Also available here
- L. Xing, P. Rohlfshagen, Y. Chen and X. Yao, ``A Hybrid Ant
Colony Optimisation Algorithm for the Extended Capacitated Arc Routing
Problem,'' IEEE Transactions on Systems, Man and Cybernetics, Part B,
41(4):1110-1123, August 2011.
Also available here.
- M. D. Felice and X. Yao, ``Short-Term Load Forecasting
with Neural Network Ensembles: A Comparative Study,''
IEEE Computational Intelligence Magazine,
6(3):47-56, August 2011.
Also available here.
- Y. Mei, K. Tang and X. Yao, ``Decomposition-Based Memetic
Algorithm for Multi-Objective Capacitated Arc Routing Problem,'' IEEE Transactions on
Evolutionary Computation, 15(2):151-165, April 2011.
Also available here.
- K. Praditwong, M. Harman and X. Yao, ``Software Module Clustering
as a Multi-Objective Search Problem,'' IEEE Transactions on Software
Engineering, 37(2):264-282, March/April 2011.
Also available here.
- Z. Wang, K. Tang and X. Yao, ``A memetic algorithm for
multi-level redundancy allocation,'' IEEE
Transactions on Reliability, 59(4):754-765, December 2010.
Also available here.
- H. Chen and X. Yao, ``Multiobjective Neural Network Ensembles based
on Regularized Negative Correlation Learning,'' IEEE Transactions on
Knowledge and Data Engineering, 22(12):1738-1751, December 2010.
- F. Peng, K. Tang, G. Chen and X. Yao, ``Population-based Algorithm
Portfolios for Numerical Optimization,'' IEEE Transactions on
Evolutionary Computation, 14(5):782-800, October 2010.
Also available here.
- Z. Wang, K. Tang and X. Yao, ``Multi-objective Approaches to
Optimal Testing Resource Allocation in Modular Software Systems,''
IEEE
Transactions on Reliability, 59(3):563-575, September 2010.
Also available here.
- P. R. Lewis, P. Marrow and X. Yao, ``Resource Allocation in
Decentralised Computational Systems: An Evolutionary Market-Based Approach,''
Autonomous Agents
and Multi-Agent Systems, 21(2):143-171, September 2010.
Also available here.
(Won the 2010 BT Gordon Radley Award for Best
Author of Innovation (Finalist).)
- E. H. Gerding, P. McBurney and X. Yao, ``Market-based
control of computational systems: introduction to the special issue,'' Autonomous Agents
and Multi-Agent Systems, 21(2):109-114, September 2010.
Also available here.
- P. Sun and X. Yao, ``Sparse Approximation Through
Boosting For Learning Large-scale Kernel Machines,'' IEEE
Transactions on Neural Networks, 21(6):883 - 894, June 2010.
Also available here.
The software that implements the algorithm in the paper can be downloaded from
here as a zipped file. The code can be
freely used for research and education purposes. We appreciate your
acknowledgement if you do so. Commercial exploitation is not permitted without
the prior agreement of the authors.
- L. Xing, P. Rohlfshagen, Y. Chen and X. Yao, ``An Evolutionary Approach
to the Multi-depot Capacitated Arc Routing Problem,'' IEEE Transactions on
Evolutionary Computation, 14(3):356-374, June 2010.
Also available here.
- L. L. Minku, A. White and X. Yao, ``The Impact of Diversity on
On-line Ensemble Learning in the Presence of Concept Drift,''
IEEE Transactions on
Knowledge and Data Engineering, 22(5):730-742, May 2010.
Also available here.
- X. Yu, K. Tang and X. Yao, ``Immigrant schemes for evolutionary
algorithms in dynamic environments: Adapting the replacement
rate,'' SCIENCE
CHINA Information Sciences, 54(7):1352-1364, July 2011.
- T. Chen, K. Tang, G. Chen and X. Yao, ``Analysis of Computational
Time of Simple Estimation of Distribution Algorithms,''
IEEE Transactions on
Evolutionary Computation, 14(1):1-22, February 2010.
Also available here.
- T. Chen, J. He, G. Chen and X. Yao, ``Choosing Selection Pressure
for Wide-gap Problems,''
Theoretical Computer
Science, 411(6):926-934, February 2010.
Also available here.
- J. C. Cuevas-Tello, P. Ti\v{n}o, S. Raychaudhury, X. Yao and M. Harva,
``Uncovering delayed
patterns in noisy and irregularly sampled time series: An
astronomy application,''
Pattern Recognition,
43:1165-1179, 2010.
Also available here.
- D. Gong, X. Yao and J. Yuan, ``Interactive Genetic Algorithms with
Individual Fitness Not Assigned by Human,''
Journal of Universal Computer Science,
15(13):2446-2462, 2009.
Available as a PDF here.
- H. Chen and X. Yao, ``Regularized Negative Correlation
Learning for Neural Network Ensembles,'' IEEE
Transactions on Neural Networks, 20(12):1962-1979, December
2009. (The 9th most accessed paper in IEEE Transactions on Neural Networks
in December 2009.)
Also available here.
- Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, X. Yao,
and K. Murase, ``A New Constructive Algorithm for Architectural and
Functional Adaptation of Artificial Neural Networks,'' IEEE
Transactions on Systems, Man, and Cybernetics: Part B,
39(6):1590-1605, December 2009.
Also available here.
- Y. Li, C. Hu and X. Yao, ``Innovative Batik Design with an
Interactive
Evolutionary Art System,'' Journal of
Computer Science and Technology, 24(6):1035-1047, November
2009.
Also available here.
- K. Tang, Y. Mei and X. Yao, ``Memetic Algorithm with
Extended Neighborhood Search for Capacitated Arc Routing Problems,''
IEEE Transactions on
Evolutionary Computation, 13(5):1151-1166, October 2009.
Also available here.
- P. Oliveto, J. He and X. Yao, "Analysis of the (1+1)-EA for Finding
Approximate Solutions to Vertex Cover Problems," IEEE Transactions on Evolutionary
Computation, 13(5):1006-1029, October 2009.
Also available here.
- T. Chen, J. He, G. Sun, G. Chen and X. Yao, ``A New Approach to
Analyzing Average Time Complexity of Population-based Evolutionary Algorithms
on Unimodal Problems,'' IEEE
Transactions on Systems, Man, and Cybernetics: Part B,
39(5):1092-1106, October 2009.
Also available here.
- S. He, X. Li, M. Viant and X. Yao, ``Profiling mass
spectrometry proteomics data using Smoothed Nonlinear Energy Operator and
Bayesian Additive Regression Trees,'' Proteomics,
9(17):4176-4191, September 2009.
- S. Y. Chong, P. Ti\v{n}o and X. Yao, ``Relationship between
generalization and diversity in coevolutionary learning,'' IEEE
Transactions on Computational Intelligence and AI in Games,
1(3):214-232, September 2009.
Also available here.
- K. Tang, M. Lin, F. L. Minku and X. Yao, ``Selective Negative
Correlation Learning Approach to Incremental Learning,'' Neurocomputing,
72(13-15):2796-2805, August 2009.
Let me know if you want a soft copy.
- H. Chen, P. Tino and X. Yao, ``Predictive Ensemble Pruning by
Expectation Propagation,'' IEEE
Transactions on Knowledge and Data Engineering, 21(7):999-1013,
July 2009.
Also available here.
- H. Chen, P. Tino and X. Yao, ``Probabilistic Classification Vector
Machines,'' IEEE Transactions on Neural Networks,
20(6):901-914, June 2009.
Also available here.
(2011 IEEE Transactions on Neural Networks Outstanding Paper Award.)
- F. L. Minku, H. Inoue and X. Yao, ``Negative
correlation in incremental learning,''
Natural
Computing, 8(2):289-320, June 2009.
Also available here.
- Y. Mei, K. Tang and X. Yao, ``A Global Repair Operator for Capacitated
Arc Routing Problem,''
IEEE Transactions on Systems, Man, and Cybernetics:
Part B, 39(3):723-734, June 2009.
Also available here.
- Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, X. Yao
and K. Murase, ``A New Adaptive Merging and Growing Algorithm for Designing
Artificial Neural Networks,'' IEEE
Transactions on Systems, Man, and Cybernetics:
Part B, 39(3):705-722, June 2009.
Available as a PDF file here.
- X. Yu, K. Tang, T. Chen and X. Yao, ``Empirical Analysis of
Evolutionary Algorithms with Immigrants Schemes for Dynamic Optimization,''
Memetic
Computing, 1(1):3-24, March 2009.
Also available here.
- P. K. Lehre and X. Yao, "Runtime Analysis of Search Heuristics on
Software Engineering Problems," Frontiers of
Computer Science in China, 3(1):64-72, March 2009.
Also available here.
- K. Tang and X. Yao,
"From
nature to computing and back," Frontiers of
Computer Science in China, 3(1):1-3, March 2009.
Also available here.
- Y. Liu and X. Yao, "Nature Inspired Neural
Network Ensemble Learning," Journal
of Intelligent Systems, 17(Supplement):5-26, December 2008.
ISSN (Online) 2191-026X, ISSN (Print) 0334-1860. (Accepted in 2005.)
- R. Gil-Pita and X. Yao, ``Evolving edited k-nearest neighbour
classifiers,'' International Journal
of Neural Systems, 18(6):459-467, December 2008.
- H. Dawid, H. L. Poutr\'e and X. Yao, ``Computational intelligence in
economic games and policy design,''
IEEE Computational Intelligence Magazine,
3(4):22-26, November 2008.
Also available here.
- X. Li, J. G. R. Jefferys, J. Fox and X. Yao, ``Neuronal population
oscillations of rat hippocampus during epileptic seizures,''
Neural
Networks, 21(8):1105-1111, October 2008.
Also available here.
- S. Yang and X. Yao, ``Population-Based Incremental Learning with
Associative Memory for Dynamic Environments,'' IEEE Transactions on Evolutionary
Computation, 12(5):542-561, October 2008.
Also available here.
- S. Salcedo-Sanz, J. A. Portilla-Figueras, E. G. Ortiz-Garc\'ia,
A. M. P\'erez-Bellido, C. Thraves, A. Fern\'andez-Anta and X. Yao,
"Optimal switch
location in mobile communication networks using hybrid genetic
algorithms," Applied Soft Computing,
8(4):1486-1497, September 2008.
- S. Y. Chong, P. Tino and X. Yao, ``Measuring Generalization Performance
in Co-evolutionary Learning,'' IEEE Transactions on Evolutionary
Computation, 12(4):479-505, August 2008.
Also available here.
(2010 IEEE Transactions on Evolutionary Computation
Outstanding Paper Award.)
- K. Tang and X. Yao, ``Editorial to Special Issue
on `Nature Inspired Problem-Solving',''
Information Sciences,
178(15):2983-2984, August 2008.
- Z. Yang, K. Tang and X. Yao, ``Large scale evolutionary
optimization using cooperative coevolution,''
Information Sciences,
178(15):2985-2999, August 2008.
- W. Dong and X. Yao, ``Unified eigen analysis on
multivariate Gaussian based estimation of distribution algorithms,''
Information
Sciences,
178(15):3000-3023, August 2008.
- A. Arcuri and X. Yao, ``Search based software
testing of object-oriented containers,'' Information
Sciences,
178(15):3075-3095, August 2008.
Also available here.
- J. Sun, Q. Zhang, J. Li and X. Yao, ``A Hybrid Estimation of
Distribution Algorithm for CDMA Cellular System Design,''
International
Journal of Computational Intelligence and Applications,
7(2):187-200, June 2008.
Also available here.
- Md. Monirul Islam, X. Yao, S. M. Shahriar Nirjon, M. Asiful Islam and
K. Murase, "Bagging and Boosting Negatively Correlated Neural Networks,"
IEEE Transactions on Systems, Man and Cybernetics, Part B,
38(3):771-784, June 2008.
Also available here.
- X. Wang, T. Schnier and X. Yao, ``Automatic feature-queried bird
identification system based on entropy and fuzzy similarity,''
Expert
Systems with Applications, 34(4):2879-2884, May 2008.
Also available here.
- T. T. Nguyen and X. Yao, ``An Experimental Study of
Hybridizing Cultural Algorithms and Local Search,''
International Journal
of Neural Systems, 18(1):1-17, February 2008.
- X. Yao and Md. M. Islam, ``Evolving artificial neural network
ensembles,''
IEEE Computational Intelligence Magazine,
3(1):31-42,February 2008.
Also available here.
- H. H. Dam, H. A. Abbass, C. Lokan and X. Yao, ``Neural-Based Learning
Classifier Systems,'' IEEE
Transactions on Knowledge and Data Engineering,
20(1):26-39, January 2008.
Also available here.
- S. Salcedo-Sanz and X. Yao, ``Assignment of Cells to Switches in a
Cellular Mobile Network using a Hybrid Hopfield Network-Genetic Algorithm
Approach,'' Applied
Soft Computing, 8(1):216-224, January 2008.
Also available here.
- X. Li, D. Cui, P. Jiruska, J. Fox, X. Yao and J. Jefferys,
``Synchronization
Measurement of Multiple Neuronal Populations,''
Journal of Neurophysiology,
98(6):3341-3348, December 2007.
- S. Y. Chong and X. Yao, ``Multiple Choices and Reputation in Multi-Agent
Interactions,'' IEEE Transactions
on Evolutionary Computation, 11(6):689-711, December 2007.
Available as a PDF here.
- J. He, X. Yao and Y. Chen, ``A novel and practicable on-chip adaptive
lossless image compression scheme using intrinsic evolvable hardware,''
Connection Science, 19(4):281-295, December 2007.
Available as a PDF file here.
- X. Li, W. Luo and X. Yao, ``Introduction to Special Issue
on Evolutionary Learning and Optimisation'',
Connection Science,
19(4):279-280, December 2007.
Available as a PDF file here.
- J. He, C. Reeves, C. Witt and X. Yao, ``A Note on Problem Difficulty
Measures in Black-Box Optimization: Classification, Realizations and
Predictability,'' Evolutionary Computation, 15(4):435-443,
Winter 2007.
Available as a PDF file here.
- P. S. Oliveto, J. He and X. Yao,
``Time Complexity of Evolutionary
Algorithms for Combinatorial Optimization: A Decade of Results,''
International Journal of Automation and Computing, 4(3):281-293,
2007.
- S. Salcedo-Sanz, J. A. Portilla-Figueras, E. G. Ort\'iz-Garc\'ia,
\'A. M. P\'erez-Bellido and X. Yao, ``Teaching Advanced Features of
Evolutionary Algorithms using Japanese Puzzles,''
IEEE
Transactions on Education, 50(2):151-156, May 2007.
Available as a PDF file.
- X. Li, J. Li and X. Yao, ``A wavelet-based data pre-processing analysis
approach in mass spectrometry,'' Computers in Biology and
Medicine, 37(4):509-516, April 2007.
Available as a PDF here.
- X. Li, X. Yao, J. Fox and J. R. G. Jefferys, ``
Interaction dynamics
of neuronal oscillations analysed using wavelet transforms,''
Journal of
Neuroscience Methods, 160(1):178-185, February 2007.
Available as a PDF file.
- S. Salcedo-Sanz, F. Cruz-Rold\'an, C. Heneghan and X. Yao,
``Evolutionary Design of Digital Filters with Application to Sub-band Coding
and Data Transmission,''
IEEE
Transactions on Signal Processing, 55(4):1193-1203, April 2007.
Available as a PDF file.
- M. Tang and X. Yao, ``A Memetic Algorithm for VLSI Floorplanning,''
IEEE Transactions on Systems, Man, and Cybernetics, Part B,
37(1):62-69, February 2007.
Available as a PDF file.
- E. K. Tang, P. N. Suganthan and X. Yao, ``An Analysis of Diversity
Measures,'' Machine
Learning, 65:247-271, 2006.
- A Chandra and X. Yao, ``Ensemble
learning using multi-objective evolutionary algorithms,''
Journal of
Mathematical Modelling and Algorithms, 5(4):417-445,
December 2006.
Available as a PDF file.
- B. Sendhoff, M. Roberts and X. Yao, ``Evolutionary Computation
Benchmarking Repository,'' IEEE Computational Intelligence Magazine,
1(4):50-51,60, November 2006.
The paper in PDF is here.
- J. Tian, R. Foley, X. Yao and H. Tianfield, ``An extended contract net
mechanism for dynamic supply chain formation and its application in China
petroleum supply chain management,'' Multiagent and Grid
Systems --- An International Journal, 2(2):183-207, 2006.
A PDF version is here.
- V. Khare, X. Yao and B. Sendhoff, ``Multi-network evolutionary systems
and automatic problem decomposition,''
International Journal
of General Systems, 35(3):259-274, June 2006.
- P. C. H. Ma, K. C. C. Chan, X. Yao and D. K. Y. Chiu, ``An Evolutionary
Clustering Algorithm for Gene Expression Microarray Data Analysis,''
IEEE Transactions on
Evolutionary Computation, 10(3):296-314, June 2006.
A PDF version is here.
- S. Salcedo-Sanz, Y. Xu and X. Yao,
"Hybrid Meta-Heuristics
Algorithms for Task Assignment in Heterogeneous Computing Systems,"
Computers and Operations Research
, 33(3):820-835, 2006.
Available here as a PDF file.
- A Chandra and X. Yao, ``Evolving hybrid ensembles of learning machines
for better generalisation,'' Neurocomputing, 69(7-9):686-700, March 2006.
A PDF version is here.
- E. K. Tang, P. N. Suganthan and X. Yao,
"Gene
selection algorithms for microarray data based on least squares support vector
machine," BMC
Bioinformatics, 7:95, 27 February 2006.
(journal impact factor: 5.42)
- Xin Yao, "A research-led and industry-oriented
MSc program in Natural Computation,"
IEEE Computational
Intelligence Magazine, 1(1):39-40, February 2006.
A PDF version can be found here.
- H. Handa, L. Chapman and Xin Yao, ``Robust route optimisation for
gritting/salting trucks: A CERCIA
experience,'' IEEE
Computational Intelligence Magazine, 1(1):6-9, February 2006.
A PDF version can be found here.
- Xin Yao, Yong Liu, Jin Li, Jun He and Colin Frayn, ``Current developments
and future directions of bio-inspired computation and implications for
ecoinformatics,'' Ecological Informatics, 1(1):9-22, January 2006.
A PDF version can be found here.
- X. Yao and Y. Xu, ``Recent Advances in Evolutionary Computation,''
Journal of Computer Science and Technology, 21(1):1-18, January 2006.
- S. Salcedo-Sanz, Y. Xu and X. Yao, ``Meta-heuristics algorithms for
FPGA segmented channel routing problems with non-standard cost functions,''
Genetic Programming
and Evolvable Machines, 6(4):359-379, December 2005.
Available here.
- S. Y. Chong and X. Yao, ``Behavioral Diversity, Choices, and Noise in the
Iterated Prisoner's Dilemma,''
IEEE
Transactions on Evolutionary Computation, 9(6):540-551,
December 2005.
Also available as a PDF file here.
- S. Yang and X. Yao, ``Experimental study on population-based incremental
learning algorithms for dynamic optimization problems,''
Soft
Computing, 9(11):815-834, November 2005.
Available here.
- K. Atashkari, N. Nariman-Zadeh, A. Pilechi, A. Jamali and X. Yao,
``Thermodynamic Pareto
Optimization of Turbojet Engines using Multi-objective Genetic
Algorithms,''
International Journal
of Thermal Sciences, 44(11):1061-1071, November 2005.
Also available as a PDF file here.
- N. Nariman-Zadeh, K. Atashkari, A. Jamali, A. Pilechi and X. Yao,
``Inverse modelling of multi-objective
thermodynamically optimized turbojet engines using GMDH-type neural
networks and evolutionary algorithms,''
Engineering
Optimization, 37(5):437-462, July 2005.
- Y. Xu, S. Salcedo-Sanz and X. Yao, ``Metaheuristic approaches to
traffic grooming in WDM optical networks,'' International Journal of Computational
Intelligence and Applications, 5(2):231-249, June 2005.
- Y. Xu, S. Salcedo-Sanz and X. Yao, ``Editorial to the Special Issue on
Nature Inspired Approaches to Networks and Telecommunications,''
International Journal of Computational Intelligence and Applications,
5(2):iii-vii, June 2005.
- X. Li, J. Polygiannakis, P. Kapiris, A. Peratzakis, K. Eftaxias
and X. Yao, ``
Fractal spectral analysis of pre-epileptic
seizures in terms of criticality,'' Journal of Neural
Engineering, 2(2):11-16, June 2005.
Available here as a PDF file.
- X. Li and X. Yao, ``Multi-scale Statistical Process Monitoring in
Machining,''
IEEE
Trans. on Industrial Electronics, 52(3):924-927, June 2005.
Available here as a PDF
file.
- T. Runarsson and X. Yao, ``Search Bias in
Constrained Evolutionary Optimization,'' IEEE Transactions on Systems, Man,
and Cybernetics, Part C, 35(2):233-243, May 2005.
Available here as a PDF file.
The related code can be downloaded here.
- Q. Lu and X. Yao, ``Clustering and Learning
Gaussian Distribution for Continuous Optimization,'' IEEE Transactions on Systems,
Man, and Cybernetics, Part C, 35(2):195-204, May 2005.
Available here as a PDF file.
- J. He, X. Yao and J. Li, ``A Comparative
Study of Three Evolutionary Algorithms Incorporating Different Amount of Domain Knowledge
for Node Covering Problems,'' IEEE Transactions on Systems, Man,
and Cybernetics, Part C, 35(2):266-271, May 2005.
Available here as a PDF file.
- E. K. Tang, P. N. Suganthan, X. Yao, A. K. Qin, ``Linear dimensionality
reduction using relevance weighted LDA,''
Pattern Recognition, 38(4):485-493, April 2005.
Available from
Elsevier journal web site as a PDF
file
or from here.
- P. G. Kapiris, J. Polygiannakis, X. Li, X. Yao and K. A. Eftaxias, ``Similarities in
precursory features in seismic shocks and epileptic seizures,'' Europhysics Letters, 69(4):657-663,
February 2005.
Available from Europhysics Letters website
as a PDF
file or from here.
- G. Brown, J. L. Wyatt, R. Harris and X. Yao, ``Diversity Creation
Methods: A Survey and Categorisation,''
Information
Fusion, 6(1):5-20, January 2005.
Available here as a PDF file.
- S. Salcedo-Sanz and X. Yao, ``A Hybrid {H}opfield Network -- Genetic
Algorithm Approach for the Terminal Assignment Problem,''
IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics,
34(6):2343-2353, December 2004.
Available from IEEE Xplore as a PDF file
or from here.
- X. Li, G. Ouyang, X. Yao and X. Guan, ``Dynamical Characteristics
of Pre-epileptic Seizures in Rats with Recurrence Quantification Analysis,''
Physics
Letters A, 333(1-2):164-171, 29 November 2004.
Available from
Elsevier's journal
website as a PDF file
or here.
- J. He and X. Yao, ``Time Complexity Analysis of an Evolutionary Algorithm for
Finding Nearly Maximum Cardinality Matching,''
Journal of Computer Science and
Technology, 19(4):450-458, July 2004.
- Y. Xu and X. Yao, "A Lower Bound on the Number of ADM's in WDM Rings with
Nonuniform Traffic Demands,"
Electronics
Letters, 40(13):824-825,
24 June 2004.
Available from IEEE Xplore as
a PDF file or from here.
- T. Schnier, X. Yao and P. Liu, ``Digital filter design using multiple
pareto fronts,'' Soft Computing, 8(5):332-343, April 2004.
The submitted copy is available.
- J. He and X. Yao, ``A study of drift analysis for estimating computation
time of evolutionary algorithms,'' Natural Computing,
3(1):21-35, January 2004.
Available from Natural Computing
web site or here.
- C. Y. Lee and X. Yao, ``Evolutionary programming using the mutations
based on the {L}\'evy probability distribution,'' IEEE
Transactions on Evolutionary Computation, 8(1):1-13, January 2004.
Available from IEEE Xplore as
a
PDF file or
here.
This paper was identified in July 2009 by Thomson Reuter's Essential
Science Indicators^{SM} as one of the most cited papers in the field of
Computer Science.
- X. Yao and Y. Liu, ``Evolving neural network ensembles by minimization of
mutual information,''
International Journal of Hybrid
Intelligent Systems, 1(1):12-21, January 2004.
Abstract available from the
journal web site.
A PDF file for the whole paper is available here.
- W.-H. Au, K. C. C. Chan and X. Yao, ``Data Mining by Evolutionary
Learning for Robust Churn Prediction in the Telecommunications Industry,''
IEEE Transactions on Evolutionary Computation, 7(6):532-545,
December 2003.
Available from IEEE Xplore as
a PDF file or
here.
- R. Sarker and X. Yao, ``Simulated Annealing for Solving a Manufacturing
Batch-Sizing Problem,'' International Journal of
Operations and Quantitative Management, 9(1):65-80, March 2003.
- R. Sarker and X. Yao, ``Simulated Annealing and Joint Manufacturing
Batch-Sizing,'' Yugoslav Journal of Operations
Research: An International Journal, 13(3):245-260, 2003.
Available here as a PDF file.
- J. X. Yu, X. Yao, C.-H. Choi, and G. Gou, ``Materialized view selection
as constrained evolutionary optimization,'' IEEE Transactions
on Systems, Man and Cybernetics, Part C, 33(4):458-467,
November 2003.
Available from IEEE Xplore as
a PDF file or
here.
- Md. Monirul Islam, X. Yao and K. Murase, ``A constructive algorithm for
training cooperative neural network ensembles,'' IEEE Transactions on
Neural Networks, 14(4):820-834, July 2003.
Available from IEEE Xplore as
a PDF file or
here.
- J. He and X. Yao, ``Towards an analytic framework for analysing the
computation time of evolutionary algorithms,''
Artificial Intelligence, 145(1-2):59-97, April 2003.
Available from Elsevier's web site as a
PDF file or from here.
- J. He and X. Yao, ``Erratum to: Drift analysis and average time
complexity of evolutionary algorithms: : [Artificial Intelligence 127 (2001)
57-85],'' Artificial Intelligence, 140(1):245-248,
September 2002.
Available as a PDF file.
- J. He and X. Yao, ``From an Individual to a Population: An Analysis of
the First Hitting Time of Population-Based Evolutionary Algorithms,''
IEEE Transactions on Evolutionary Computation, 6(5):495-511,
October 2002.
Available from IEEE Xplore as
a PDF file or from here.
(According to Essential Science Indicators$^{SM}$, the number of
citations this paper received places it in the top 1% within its field.)
- J. Lin, B. H. Cheong and X. Yao, ``Universal multi-objective function for
optimising superplastic-damage constitutive equations,'' Journal of
Materials Processing Technology, 125-126:199-205, September 2002.
Available from Elsevier's web site as
a PDF file or from here.
- P. Darwen and X. Yao, ``Co-Evolution in Iterated Prisoner's Dilemma
with Intermediate Levels of Cooperation: Application to Missile Defense,''
International Journal of Computational Intelligence and Applications,
2(1):83-107, 2002.
Available from World Scientific's web site as
a PDF file
or from here.
- B. Li, J. Lin and X. Yao, ``A Novel Evolutionary Algorithm for
Determining Unified Creep Damage Constitutive Equations,'' International
Journal of Mechanical Sciences, 44(5):987-1002, 2002.
Available from Elsevier's web site as
a PDF file.
- K.-H. Liang, X. Yao, C. S. Newton and D. Hoffman, ``A New Evolutionary
Approach to Cutting Stock Problems With and Without Contiguity,''
Computers and Operations Research, 29(12):1641-1659,
Oct. 2002.
Available from Elsevier's web site as
a PDF file.
- C. Zhang, X. Yao and J. Yang, ``An Evolutionary Approach to Materialized
Views Selection in a Data Warehouse Environment,'' IEEE Transactions on
Systems, Man and Cybernetics, Part C, 31(3):282-294,
August 2001.
Available from IEEE Xplore as
a PDF file
or here.
- K. H. Liang, X. Yao and C. S. Newton, ``Adapting self-adaptive parameters
in evolutionary algorithms,'' Applied Intelligence,
15(3):171-180, November/December 2001.
Available from Kluwer's
web site as
a PDF file or here.
- X. Yao and R. I. McKay, ``Simulated evolution and learning: An
introduction,'' Applied Intelligence,
15(3):151-152, November/December 2001.
Available from Kluwer's
web site as
a PDF file or here.
- J. He and X. Yao, ``Drift Analysis and Average Time
Complexity of Evolutionary Algorithms,'' Artificial
Intelligence, 127(1):57-85, March 2001.
Available from
Elsevier website as
a PDF file or here.
- Y. Liu, X. Yao and T. Higuchi, ``Evolutionary Ensembles with Negative
Correlation Learning,'' IEEE Transactions on Evolutionary
Computation, 4(4):380-387, November 2000.
Available as
from IEEE Xplore as
a PDF file.
- T. P. Runarsson and X. Yao, ``Stochastic Ranking for Constrained
Evolutionary Optimization,'' IEEE Transactions on Evolutionary
Computation, 4(3):284-294, September 2000.
Available from IEEE Xplore as
a PDF file or
here.
The
software in Matlab code is available.
- J. He, J. Xu and X. Yao, ``Solving equations by hybrid evolutionary
computation techniques,'' IEEE Transactions on Evolutionary
Computation, 4(3):295-304, September 2000.
Available from IEEE Xplore as
a PDF file or
here.
- Y.-G. Seo, S.-B. Cho and X. Yao,
"The Impact of Payoff Function and
Local Interaction on the N-player Iterated Prisoner's Dilemma,"
Knowledge and Information Systems: An International Journal.
2(4):461-478, November 2000.
Abstract
available from Springer site. Paper available as
a PDF file.
- K.-H. Liang, X. Yao and C. Newton, ``Evolutionary search of approximated
N-dimensional landscapes,'' International Journal of
Knowledge-Based Intelligent Engineering Systems, 4(3):172-183,
July 2000.
Available as
a PDF file.
- P. J. Darwen and X. Yao, ``Does extra genetic diversity maintain
escalation in a co-evolutionary arms race,'' International
Journal of Knowledge-Based Intelligent Engineering Systems,
4(3):191-200, July 2000.
Available as
a PDF file.
- H. He, S. Hawkins, W. Graco, and X. Yao, ``Application of
Genetic Algorithm and K-Nearest Neighbour
Method in Real World Medical Fraud Detection Problem,'' Journal of
Advanced Computational Intelligence, 4(2):130-137, 2000.
- Y. Liu and X. Yao, ``Ensemble learning via negative correlation,''
Neural Networks, 12(10):1399-1404, December 1999.
Available from Elsevier's
journal site as
a PDF file.
- X. Yao, Y. Liu and G. Lin, ``Evolutionary programming made faster,''
IEEE Transactions on Evolutionary Computation, 3(2):82-102,
July 1999.
Available from IEEE Xplore as
a PDF file or
here.
- Y. Liu and X. Yao, ``Simultaneous training of negatively correlated
neural networks in an ensemble,'' IEEE Transactions on
Systems, Man, and Cybernetics, Part B: Cybernetics, 29(6):716-725,
December 1999.
Available from IEEE Xplore as
a PDF file or
here.
- X. Yao, ``Following the path of evolvable hardware,''
Communications of the ACM, 42(4):47-49, April 1999.
Available as
a gzipped ps file.
- X. Yao, ``Evolving artificial neural networks,'' Proceedings of the
IEEE, 87(9):1423-1447, September 1999. (Won the 2001
IEEE Donald G.
Fink Prize Paper Award)
Available from IEEE Xplore as
a PDF file or
here.
- M. Murakawa, S. Yoshizawa, I. Kajitani, X. Yao, N. Kajihara, M. Iwata and
T. Higuchi, ``The GRD chip: genetic reconfiguration of DSPs for neural network
processing,'' IEEE Transactions on Computers, 48(6):628-639,
June 1999.
Available from IEEE Xplore as
a PDF file or
here.
- X. Yao and T. Higuchi, ``Promises and Challenges of Evolvable Hardware,''
IEEE Transactions on Systems, Man, and Cybernetics, Part C,
29(1):87-97, February 1999.
Available from IEEE Xplore as
a PDF file or
here.
- X. H. Yu, W. X. Zheng, B. L. Wu and X. Yao, ``A novel penalty function
approach to constrained optimization problems with genetic
algorithms,'' Journal of Advanced Computational Intelligence,
2(6):208-213, 1998.
- X. Yao and Y. Liu, ``Making use of population information in evolutionary
artificial neural networks,'' IEEE Transactions on Systems, Man and
Cybernetics, Part B: Cybernetics, 28(3):417-425, June 1998.
Available from IEEE Xplore as
a PDF file or
here.
- X. Yao, ``Maximum Matching on Boltzmann Machines,'' Neural
Processing Letters, 7(1):49-53, 1998.
Available from Kluwer's
journal site as
a PDF file.
- X. Yao and Y. Liu, ``Towards designing artificial neural networks by
evolution,'' Applied Mathematics and Computation, 91(1):83-90,
April 1998.
Available from Elsevier's journal
site as
a PDF file.
- Y. Liu and X. Yao, ``Negatively correlated neural networks can produce
best ensembles,'' Australian Journal of Intelligent Information
Processing Systems, 4(3/4):176-185, 1997.
- J. Leeming and X. Yao, ``Terrain traversal by genetic algorithms,''
Australian Journal of Intelligent Information
Processing Systems, 4(3/4):258-266, 1997.
- X. Yao and Y. Liu, ``A new evolutionary system for evolving artificial
neural networks,'' IEEE Transactions on Neural Networks,
8(3):694-713, May 1997.
Available from IEEE Xplore as
a PDF file or
here.
- P. J. Darwen and X. Yao, ``Speciation as automatic categorical
modularization,'' IEEE Transactions on Evolutionary
Computation, 1(2):101-108, 1997.
Available as
a gzipped ps file or
from IEEE Xplore as
a PDF file.
- X. Yao and Y. Liu, ``Fast evolution strategies,'' Control and
Cybernetics. 26(3):467-496, 1997.
Available as
a gzipped ps file.
- Y. Liu and X. Yao (1996),
``A population-based learning algorithm which learns both architectures and
weights of neural networks,'' Chinese Journal of Advanced
Software Research (Allerton Press, Inc., New York, NY 10011),
3(1):54-65, 1996.
Available as
a gzipped ps file.
- X. Yao (1996b), ``An overview of evolutionary computation,''
Chinese Journal of Advanced Software Research (Allerton Press, Inc.,
New York, NY 10011), 3(1):12-29, 1996.
Available as a gzipped ps file.
- X. Yao, Y. Liu and P. Darwen,
``How to make
best use of evolutionary learning,'' Complexity International:
An Electronic Journal of Complex Systems Research (ISSN 1320-0682),
Vol. 3, July 1996.
Also appeared in paper form in Complex Systems --- From Local
Interactions to Global Phenomena, IOS Press, Amsterdam, pp.229--242, 1996.
Available as
a gzipped ps file.
- F. Luan and X. Yao,
``Solving
real-world lecture room assignment problems by genetic algorithms,''
Complexity International: An Electronic Journal
of Complex Systems Research (ISSN 1320-0682), Vol. 3, July 1996.
Also appeared in paper form in Complex Systems --- From Local
Interactions to Global Phenomena, IOS Press, Amsterdam, pp.148--160, 1996.
- X. Yao, ``Evolutionary stability in the N-person iterated
prisoner's dilemma,'' BioSystems, 37(3):189-197, 1996.
Available from Elsevier's
journal site as
a PDF file
or here.
- X. Yao, ``A new simulated annealing algorithm,''
International Journal of Computer Mathematics, 56:161--168,
1995.
Available as a compressed ps file.
- X. Yao, ``Call routing by simulated annealing,''
International Journal of Electronics, 79(4):379-387, 1995.
Available as a compressed ps file.
- X. Yao, ``A note on neural sorting networks with O(1) time
complexity,'' Information Processing Letters, 56(5):253-254,
December 1995.
Available from Elsevier's journal site as
a PDF file.
- X. Yao and P. Darwen (1994), ``An experimental study of N-person
iterated prisoner's dilemma games,'' Informatica,
18(4):435--450.
Available as a compressed ps file
or a PDF file.
- X. Yao (1993a), ``A review of evolutionary artificial neural
networks,'' International Journal of Intelligent Systems,
8(4):539--567.
Available as a compressed ps file.
- X. Yao (1993b),
``An empirical study of genetic operators in
genetic algorithms,'' Microprocessing and Microprogramming,
38(1-5):707--714.
Available as a gzipped file
or a PDF fiel.
- X. Yao (1993c), ``Evolutionary artificial neural networks,''
International Journal of Neural Systems, 4(3):203--222.
Available as a compressed ps file.
- X. Yao, ``Finding approximate solutions to NP-hard problems by
neural networks is hard,'' Information Processing Letters,
41(2):93-98, February 1992.
Abstract Available from
Elsevier's journal site,
Full paper available as a compressed ps file.
- X. Yao (1991a), ``Simulated annealing with extended neighbourhood,''
International Journal of Computer Mathematics, 40:169-189.
Available as a compressed ps file.
- X. Yao and G.-J. Li (1991), ``General simulated annealing,''
Journal of Computer Science and Technology, 6:329-338.
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