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Knowledge Incorporation in Evolutionary Computation »

Authors: Yaochu Jin
ISBN-13: 9783540229025, ISBN-10: 3540229027
Format: Hardcover
Publisher: Springer-Verlag New York, LLC
Date Published: October 2007
Edition: (Non-applicable)

Author Biography: Yaochu Jin

Book Synopsis

This carefully edited book puts together the state-of-the-art and recent advances in knowledge incorporation in evolutionary computation within a unified framework. The book provides a comprehensive self-contained view of knowledge incorporation in evolutionary computation including a concise introduction to evolutionary algorithms as well as knowledge representation methods. "Knowledge Incorporation in Evolutionary Computation" is a valuable reference for researchers, students and professionals from engineering and computer science, in particular in the areas of artificial intelligence, soft computing, natural computing, and evolutionary computation.

	A selected introduction to evolutionary computation	3
	The use of collective memory in genetic programming	15
	A cultural algorithm for solving the job shop scheduling problem	37
	Case-initialized genetic algorithms for knowledge extraction and incorporation	57
	Using cultural algorithms to evolve strategies in a complex agent-based system	81
	Methods for using surrogate models to speed up genetic algorithm optimization : informed operators and genetic engineering	103
	Fuzzy knowledge incorporation in crossover and mutation	123
	Learning probabilistic models for enhanced evolutionary computation	147
	Probabilistic models for linkage learning in forest management	177
	Performance-based computation of chromosome lifetimes in genetic algorithms	195
	Genetic algorithm and case-based reasoning applied in production scheduling	215
	Knowledge-based evolutionary search for inductive concept learning	237
	An evolutionary algorithm with Tabu restriction and heuristic reasoning for multiobjective optimization	255
	Neural networks for fitness approximation in evolutionary optimization	281
	Surrogate-assisted evolutionary optimization frameworks for high-fidelity engineering design problems	307
	Model assisted evolution strategies	333
	Knowledge incorporation through lifetime learning	359
	Local search direction for multi-objective optimization using memetic EMO algorithms	385
	Fashion design using interactive genetic algorithm with knowledge-based encoding	411
	Interactive evolutionary design	435
	Integrating user preferences into evolutionary multi-objective optimization	461
	Human preferences and their applications in evolutionary multi-objective optimization	479
	An interactive fuzzy satisficing method for multiobjective integer programming problems through genetic algorithms	503
	Interactive preference incorporation in evolutionary engineering design	525

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Category Books

Knowledge Incorporation in Evolutionary Computation »

Author Biography: Yaochu Jin

Book Synopsis

Table of Contents

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