The 2002 U.K. Workshop on Computational Intelligence
(UKCI'02)
2-4 September 2002, Birmingham, U.K.
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UKCI-01
School of Computer Science
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PROGRAMME Monday 2 September10.00 — 11.00 Registration and Tea/Coffee 11.00 — 11.10 Welcome address 11.10 — 12.00 Keynote address 1 Using Evolutionary Algorithms To Create Algorithms Peter Ross Abstract: In a wide range of commercially important areas, evolutionary algorithms (EAs) have been strikingly successful -- when applied by academics. Among commercial users the take-up has been more variable; there are many unusual success stories but there are also good reasons why somebody might still not wish to jump into the unfamiliar waters of EAs. This talk is about a general line of development that might address some of the existing concerns. The general idea is, rather than using an EA to find a solution to a specific problem, use it to find an algorithm that can solve a family of problems well.12.00 — 1.00 Session 1 — Evolutionary Computation Maximum Cardinality Matching by Evolutionary Algorithms Jun He & Xin Yao Genetic Algorithms for Discrete Sequence Prediction Anikó Ekárt 1.00 — 2.00 Lunch 2.00 — 3.30 Session 2 — Genetic Programming & Evolvable Hardware What Can Automatic Programming Learn from Theoretical Computer Science? Colin G. Johnson Studying the Emergence of Multicellularity with Cartesian Genetic Programming in Artificial Life Joseph A. Rothermich & Julian F. Miller Measuring Fitness of Digital Circuits in Evolvable Hardware Mark Lucas 3.30 —4.00 Tea/Coffee 4.00 — 4.30 Invited Talk Data Mining, Natural Computation and Intelligence Amplification Tom Khabaza 4.30 — 5.30 Session 3 — Evolutionary Applications Evolutionary Approach for Vehicle Routing Problem with Time Windows and Facility Location Allocation Problem Kamal Gupta & Xin Yao A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm Oliver Ritthoff, Ralf Klinkenberg, Simon Fischer & Ingo Mierwa 5.30 — 6.00 Poster Session Adverts Poster presenters get four minutes each to introduce themselves and advertise their poster. 6.00 — 11.15 Pre-dinner drinks, Dinner, Post-dinner drinks Tuesday 3 September9.00 — 11.00 Session 4 — Learning and Optimization An Instance-based Learning Approach based on Grey Relational Structure Towards Comprehensive Clustering of Mixed Scale Data with K-Means Boris Mirkin The Stability of General Discounted Reinforcement Learning with Linear Function Approximation Stuart I. Reynolds No Free Lunch, Program Induction and Combinatorial Problems John Woodward & James Neil 11.00 — 11.30 Tea/Coffee 11.30 — 1.00 Session 5 — Neural Networks Maximum Likelihood Topology Preserving Algorithms Emilio Corchado & Colin Fyfe Artificial Speciation of Neural Network Ensembles Vineet Khare & Xin Yao To Modularize or Not To Modularize? John A. Bullinaria 1.00 — 2.00 Lunch 2.00 — 3.00 Keynote address 2 Intelligent Systems for On-line Monitoring and Control of Patient Unconsciousness in Operating Theatres Abstract: The monitoring and control of unconsciousness under surgical conditions in operating theatre is a major challenge to both anaesthetists and machines. An intelligent system combining a number of advanced computational paradigms has been developed for the assessment of depth of anaesthesia which utilises auditory evoked brain potentials, heart rate and blood pressure measurements. Using wavelets analysis the features within the auditory evoked signals are extracted and then fed to a learning neuro- fuzzy system which in turn classifies the depth of anaesthesia. In addition, the heart rate and blood pressure signals are used as a second measure based on a rule-based fuzzy logic system. The two measures are then fused to give a final indication of anaesthetic depth. This is then fed back to a Target Controlled Infusion (TCI) system for regulating the infusion of the drug propofol for the maintenance of anaesthetic state. The fuzzy logic rule-base is constructed from pharmacological knowledge elicited from experts. In addition, fuzzy-based modelling has been utilised in producing a patient model which includes the effects of analgesic agents on patients drug sensitivity and surgical stimulation of varying intensities. The architecture has been validated via extensive simulation and in clinical trials. The system has also been developed as a computer- based training device. 3.00 — 4.00 Session 6 — Data Analysis Label Prototypes for Data Analysis Jonathan Lawry Intelligent Sensor Fusion in Uncertain Taxonomical Hierarchies Jonathan M. Rossiter, Toshiharu Mukai & Paul R. Goddard 4.00 — 4.30 Tea/Coffee 4.30 — 6.00 Session 7 — Fuzzy Systems Modelling Capabilities of Fuzzy Relational Models Yue Wu & Arthur Dexter Aiding Fuzzy Rule Induction with Fuzzy Rough Attribute Reduction Richard Jensen & Qiang Shen Fuzzy Modelling for Student Academic Performance Evaluation Khairul A. Rasmani & Qiang Shen 6.00 — 11.15 Pre-dinner drinks, Conference Banquet, Post-dinner drinks Wednesday 4 September9.00 — 10.00 Keynote address 3 Applications of "Intelligent" Methods in Logistics Abstract: Transportation Logistics has been considered as an important area of applications of Operations Research methods for decades and its importance will not decrease but rather increase in the future. The general structure is generally conceived as that of combinatorial optimisation and models such as the Travelling Salesman, Routing, Scheduling etc. are standard models that have been around for the last half century. What has been neglected very often in the OR Literature are non-standard topologies, the consideration of uncertainty and fast changing dynamic environments. Further, no distinction has been made between planning models and control applications. Since the beginning of the 90's methods of Computational Intelligence have increasingly been used to complement classical OR approaches to tackle the above mentioned aspects in real applications. The presentation will give a survey of such applications in traffic management, fleet management and in-house logistics and describe in more detail approaches used for optimising the control of container terminals. 10.00 — 11.00 Session 8 — Agents and Swarms A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence Jonathan E. Fieldsend & Sameer Singh A Framework for Comparing Agent Architectures Aaron Sloman & Matthias Scheutz 11.00 — 11.30 Tea/Coffee 11.30 — 1.00 Invited talks from Industrial Representatives Paul Marrow BT Laboratories, Ipswich Dave Cliff HP Labs, Bristol 1.00 — 2.30 Poster Session with Buffet Lunch Automatic VHDL-AMS Code Generation from UML Diagrams for Analogue System Modelling C.T. Carr, T.M. McGinnity & L.J. McDaid On the Implementation of Rough Set Attribute Reduction Alexios Chouchoulas, Joe Halliwell & Qiang Shen Intelligent Chain Code Quantisation for Multiple Classifier Based Shape Recognition S. Hoque, K. Sirlantzis & M.C. Fairhurst Intelligent Shopping Negotiation Agents that can Adapt User Preferences R. Huang, T. Yamazaki & H. Ouchiyama Game-Playing by Machine Learning Suraj Kumar Towards a Multi-Algorithm Vehicle Routing Problem Solver Finlay Smith, Ann Tighe & Gerard Lyons Estimation of Distribution Algorithm Based on Mixtures: Preliminary Experimental Results Qingfu Zhang, Jianyong Sun, Edward Tsang & John Ford 2.30 - ? Afternoon free for meetings/discussions/sightseeing/early departures Reserve talk to be fitted into a gap somewhere Statistics-based Adaptive Non-Uniform Crossover for Genetic Algorithms Shengxiang Yang Last modified Thursday, 30-Jan-2003 12:55:10 GMT . Please report errors to John Bullinaria. |