Genetic Programming Bibliography entries for Byoung-Tak Zhang

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GP coauthors/coeditors: Shu-Heng Chen, Hung-Shuo Wang, Dong-Yeon Cho, Kwang-Hyun Cho, Ha-Young Jang, Jung-Jib Kim, Dong-Wook Lee, Chang-Bong Ban, Kwee-Bo Sim, Ho-Sik Seok, Kwang-Ju Lee, Jin-Wu Nam, Je-Gun Joung, Young-Sirk Ahn, Ki-Roo Shin, Jinju Han, Yoontae Lee, V Narry Kim, Heinz Muhlenbein, Peter Ohm, Ju-Hyun Kwak, Chang-Hoon Lee,

Genetic Programming Articles by Byoung-Tak Zhang

  1. Dong-Yeon Cho and Kwang-Hyun Cho and Byoung-Tak Zhang. Identification of biochemical networks by S-tree based genetic programming. Bioinformatics, 22(13):1631-1640, 2006. details

  2. Jin-Wu Nam and Ki-Roo Shin and Jinju Han and Yoontae Lee and V. Narry Kim and Byoung-Tak Zhang. Human microRNA prediction through a probabilistic co-learning model of sequence and structure. Nucleic Acids Research, 33(11):3570-3581, 2005. details

  3. Byoung-Tak Zhang. Bayesian Methods for Efficient Genetic Programming. Genetic Programming and Evolvable Machines, 1(3):217-242, 2000. details

  4. Byoung-Tak Zhang and Dong-Yeon Cho. Evolving Complex Group Behaviors Using Genetic Programming with Fitness Switching. Artificial Life and Robotics, 4(2):103-108, 2000. details

  5. Byoung-Tak Zhang and Peter Ohm and Heinz Muehlenbein. Evolutionary Neural Trees for Modeling and Predicting Complex Systems. Engineering Applications of Artificial Intelligence, 10(5):473-483, 1997. details

  6. Byoung-Tak Zhang and Peter Ohm and Heinz M\"uhlenbein. Evolutionary Induction of Sparse Neural Trees. Evolutionary Computation, 5(2):213-236, 1997. details

  7. B. T. Zhang. Evolutionary Learning of Sigma-Pi Neural Trees and Its Application to Classification and Prediction. Journal of Korean Institute of Intelligent Systems, 6(2):13-21, 1996. details

  8. Byoung-Tak Zhang and Heinz M\"uhlenbein. Balancing Accuracy and Parsimony in Genetic Programming. Evolutionary Computation, 3(1):17-38, 1995. details

  9. Byoung-Tak Zhang and Heinz M\"uhlenbein. Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor. Complex Systems, 7(3):199-220, 1993. details

Genetic Programming conference papers by Byoung-Tak Zhang

  1. Ha-Young Jang and Byoung-Tak Zhang. Automated construction of diagnosis rules from DNA samples. In The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen editors, Proceedings of the Third Asian-Pacific workshop on Genetic Programming, pages 47-56, Military Technical Academy, Hanoi, VietNam, 2006. details

  2. Byoung-Tak Zhang and Ha-Young Jang. Molecular programming: evolving genetic programs in a test tube. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1761-1768, Washington DC, USA, 2005. ACM Press. details

  3. Jin-Wu Nam and Je-Gun Joung and Young-Sirk Ahn and Byoung-Tak Zhang. Two-Step Genetic Programming for Optimization of RNA Common-Structure. In Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 73-83, Coimbra, Portugal, 2004. Springer Verlag. details

  4. Ho-Sik Seok and Byoung-Tak Zhang. Evolutionary Calibration of Sensors using Genetic Programming on Evolvable Hardware. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 630-634, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

  5. Byoung-Tak Zhang. Bayesian evolutionary algorithms for learning and optimization. In Optimization By Building and Using Probabilistic, pages 220-223, Las Vegas, Nevada, USA, 2000. details

  6. Ho-Sik Seok and Kwang-Ju Lee and Byoung-Tak Zhang. An On-Line Learning Method for Object-Locating Robots using Genetic Programming on Evolvable Hardware. In Masanori Sugisaka and Hiroshi Tanaka editors, Proceedings of the Fifth International Symposium on Artificial Life and Robotics, volume 1, pages 321-324, Oita, Japan, 2000. details

  7. Ho-Sik Seok and Kwang-Ju Lee and Byoung-Tak Zhang and Dong-Wook Lee and Kwee-Bo Sim. Genetic Programming of Process Decomposition Strategies for Evolvable Hardware. In Proceedings of the Second NASA / DoD Workshop on Evolvable Hardware, pages 25-34, Palo Alto, California, 2000. IEEE Computer Society. details

  8. Kwang-Ju Lee and Byoung-Tak Zhang. Learning robot behaviors by evolving genetic programs. In 26th Annual Conference of the IEEE Industrial Electronics Society, IECON, volume 4, pages 2867-2872, Nagoya, 2000. IEEE. details

  9. Byoung-Tak Zhang and Dong-Yeon Cho. Evolving Neural Trees for Time Series Prediction Using Bayesian Evolutionary Algorithms. In Xin Yao and David B. Fogel editors, Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, pages 17-23, San Antonio, TX, USA, 2000. details

  10. Byoung-Tak Zhang and Je-Gun Joung. Building Optimal Committees of Genetic Programs. In Marc Schoenauer and Kalyanmoy Deb and G\"unter Rudolph and Xin Yao and Evelyne Lutton and Juan Julian Merelo and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VI 6th International Conference, volume 1917, pages 231-240, Paris, France, 2000. Springer Verlag. details

  11. Dong-Wook Lee and Chang-Bong Ban and Kwee-Bo Sim and Ho-Sik Seok and Kwang-Ju Lee and Byoung-Tak Zhang. Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware. In IEEE International Conference on Systems, Man, and Cybernetics, volume 5, pages 3835-3840, Nashville, TN, USA, 2000. details

  12. Byoung-Tak Zhang. Bayesian Genetic Programming. In Thomas Haynes and William B. Langdon and Una-May O'Reilly and Riccardo Poli and Justinian Rosca editors, Foundations of Genetic Programming, pages 68-70, Orlando, Florida, USA, 1999. details

  13. Byoung-Tak Zhang and Je-Gun Joung. Genetic Programming with Incremental Data Inheritance. In Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1217-1224, Orlando, Florida, USA, 1999. Morgan Kaufmann. details

  14. Shu-Heng Chen and Hung-Shuo Wang and Byoung-Tak Zhang. Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Hang-Seng Stock Index. In Hamid R. Arabnia editor, Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, volume 2, pages 437-443, Las Vegas, Nevada, USA, 1999. CSREA Press. details

  15. Jung-Jib Kim and Byoung-Tak Zhang. Effects of Selection Schemes in Genetic Programming for Time Series Prediction. In Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala editors, Proceedings of the Congress on Evolutionary Computation, volume 1, pages 252-258, Mayflower Hotel, Washington D.C., USA, 1999. IEEE Press. details

  16. D. Y. Cho and B. T. Zhang. Genetic programming-based Alife techniques for evolving collective robotic intelligence. In M. Sugisaka editor, Proceedings 4th International Symposium on Artificial Life and Robotics, pages 236-239, B-Con Plaza, Beppu, Oita, Japan, 1999. details

  17. Byoung-Tak Zhang and Dong-Yeon Cho. Fitness Switching: Evolving Complex Group Behaviors Using Genetic Programming. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 431-439, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  18. Byoung-Tak Zhang and Dong-Yeon Cho. Genetic Programming with Active Data Selection. In R. I. Bob McKay and X. Yao and Charles S. Newton and J.-H. Kim and T. Furuhashi editors, Simulated Evolution and Learning: Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98. Selected Papers, volume 1585, pages 146-153, Australian Defence Force Academy, Canberra, Australia, 1998. Springer-Verlag. published in 1999. details

  19. Dong-Yeon Cho and Byoung-Tak Zhang. Genetic programming of multi-agent cooperation strategies for table transport. In K. C. Min editor, The Third Asian Fuzzy Systems Symposium, pages 170-175, Kyungnam University, Masan, Korea, 1998. details

  20. Byoung-Tak Zhang and Je-Gun Joung. Evolutionary Design of Neural Trees for Heart Rate Prediction. In Pravir K. Chawdhry and Rajkumar Roy and Raj K. Pant editors, Soft Computing in Engineering Design and Manufacturing, pages 93-101, 1997. Springer-Verlag London. details

  21. Byoung-Tak Zhang and Je-Gun Joung. Enhancing Robustness of Genetic Programming at the Species Level. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 336-342, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  22. Byoung-Tak Zhang and Ju-Hyun Kwak and Chang-Hoon Lee. Building Software Agents for Information Filtering on the Internet: A Genetic Programming Approach. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, page 196, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  23. Byoung-Tak Zhang and Peter Ohm and Heinz Muehlenbein. Water Pollution Prediction with Evolutionary Neural Trees. In Cindy Mason editor, Proccedings 1995 IJCAI Workshop on AI and the Environment, Montreal, Canada, 1995. AAAI and MIT Press. details

  24. Byoung-Tak Zhang and Heinz M\"uhlenbein. Bayesian Inference, Minimum Description Length Principle, and Learning by Genetic Programming. In Justinian P. Rosca editor, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 1-5, Tahoe City, California, USA, 1995. details

  25. Byoung-Tak Zhang and Heinz M\"uhlenbein. MDL-Based Fitness Functions for Learning Parsimonious Programs. In E. V. Siegel and J. R. Koza editors, Working Notes for the AAAI Symposium on Genetic Programming, pages 122-126, MIT, Cambridge, MA, USA, 1995. AAAI. details

  26. Byoung-Tak Zhang and Heinz M\"uhlenbein. Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. In Proceedings of IEEE International Conference on Evolutionary Computation (ICEC-94), World Congress on Computational Intelligence, pages 318-323, Orlando, Florida, USA, 1994. IEEE Computer Society Press. details

  27. Byoung-Tak Zhang. Effects of Occam's Razor in Evolving Sigma-Pi Neural Networks. In Y. Davidor and H.-P. Schwefel and R. M\"anner editors, Lecture Notes in Computer Science 866: Parallel Problem Solving from Nature III, pages 462-471, Jerusalem, 1994. Springer-Verlag. details

  28. Byoung-Tak Zhang and Heinz M\"uhlenbein. Genetic Programming of Minimal Neural Nets Using Occam's Razor. In Stephanie Forrest editor, Proceedings of the 5th International Conference on Genetic Algorithms, ICGA-93, pages 342-349, University of Illinois at Urbana-Champaign, 1993. Morgan Kaufmann. details

Genetic Programming book chapters by Byoung-Tak Zhang

Genetic Programming etc Byoung-Tak Zhang