Simulated Evolution and Learning: First Asia-Pacific Conference, SEAL’96 Taejon, Korea, November 9–12, 1996 Seclected Papers

John L. Casti (auth.), Xin Yao, Jong-Hwan Kim, Takeshi Furuhashi (eds.)3540633995, 9783540633990

This book constitutes the thoroughly refereed post-conference documentation of the First Asia-Pacific Conference on Simulated Evolution and Learning, SEAL’96, held in Taejon, Korea, in November 1996.
The 23 revised full papers were selected for inclusion in this book on the basis of 2 rounds of reviewing and improvements. Also included are invited papers by John L. Casti and Lawrence J. Fogel. The volume covers a wide range of current topics in simulated evolution and learning e.g. evolutionary optimization, evolutionary learning, artificial life, hybrid evolutionary fuzzy systems, evolutionary artificial neural networks, co-evolution, novel evolutionary approaches to computer tomography image reconstruction, power systems load flow control, and water flow control in cropped soils.

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Table of contents :
Emergent phenomena and computer worlds….Pages 1-10
Top-down evolutionary engineering….Pages 11-16
Function optimization using evolutionary programming with self-adaptive cultural algorithms….Pages 17-26
An adaptive evolutionary algorithm for numerical optimization….Pages 27-34
Lagrangian-based evolutionary programming for constrained optimization….Pages 35-44
Selection of input variables of fuzzy model using genetic algorithm with quick fuzzy inference….Pages 45-53
Entropic sampling in genetic-entropic algorithm….Pages 54-62
Computational and learning synergies with a coevolving multilevel architecture….Pages 63-72
Evolving state and memory in genetic programming….Pages 73-80
Evolutionary CT image reconstruction by image partitioning….Pages 81-88
Genetic learning of the irrigation cycle for water flow in cropped soils….Pages 89-96
Optimization of parameters of color image segmentation using evolutionary programming….Pages 97-105
Genetic algorithms for solving multiprocessor scheduling problems….Pages 106-115
A study on co-evolutionary learning of neural networks….Pages 116-125
Knowledge acquisition of fuzzy control rules for mobile robots using DNA coding method and pseudo-bacterial GA….Pages 126-135
Evolutionary learning algorithm for projection neural networks….Pages 136-145
EPNet for chaotic time-series prediction….Pages 146-156
Would and should government lie about economic statistics: simulations based o evolutionary cellular automata….Pages 157-166
A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm….Pages 167-176
Knowledge extraction using neural network by an artificial life approach….Pages 177-186
An inference method using multiple patterns and modification of pattern space….Pages 187-195
Random search based on genetic operators….Pages 196-205
Hybrid evolutionary learning of fuzzy logic and genetic algorithm….Pages 206-215
Fuzzy identification of unknown systems based on GA….Pages 216-223
Competitive co-evolution model on the acquisition of game strategy….Pages 224-231