Simulated Evolution and Learning

First Asia-Pacific Conference, SEAL'96, Taejon, Korea, November 9-12, 1996. Selected Papers.

Häftad, Engelska, 1997

Av Xin Yao, Jong-Hwan Kim, Takeshi Furuhashi

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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.

Produktinformation

Utgivningsdatum1997-08-06
Mått155 x 235 x 14 mm
Vikt382 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor238
Upplaga1997
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540633990

Tillhör följande kategorier

Emergent phenomena and computer worlds.- Top-down evolutionary engineering.- Function optimization using evolutionary programming with self-adaptive cultural algorithms.- An adaptive evolutionary algorithm for numerical optimization.- Lagrangian-based evolutionary programming for constrained optimization.- Selection of input variables of fuzzy model using genetic algorithm with quick fuzzy inference.- Entropic sampling in genetic-entropic algorithm.- Computational and learning synergies with a coevolving multilevel architecture.- Evolving state and memory in genetic programming.- Evolutionary CT image reconstruction by image partitioning.- Genetic learning of the irrigation cycle for water flow in cropped soils.- Optimization of parameters of color image segmentation using evolutionary programming.- Genetic algorithms for solving multiprocessor scheduling problems.- A study on co-evolutionary learning of neural networks.- Knowledge acquisition of fuzzy control rules for mobile robots using DNA coding method and pseudo-bacterial GA.- Evolutionary learning algorithm for projection neural networks.- EPNet for chaotic time-series prediction.- Would and should government lie about economic statistics: simulations based o evolutionary cellular automata.- A technique for improving the convergence characteristic of genetic algorithms and its application to a genetic-based load flow algorithm.- Knowledge extraction using neural network by an artificial life approach.- An inference method using multiple patterns and modification of pattern space.- Random search based on genetic operators.- Hybrid evolutionary learning of fuzzy logic and genetic algorithm.- Fuzzy identification of unknown systems based on GA.- Competitive co-evolution model on the acquisition of game strategy.