Evolutionary Computation 2

Advanced Algorithms and Operators
Herausgeber: Baeck, Thomas; Michalewicz, Z.; Fogel, D. B

• Broschiertes Buch

Produktbeschreibung

Describes basic ideas underlying evolutionary algorithms. This book covers such topics as fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of evolutionary algorithms. It is suitable for students of evolutionary computation.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 310
• Erscheinungstermin: 20. November 2000
• Englisch
• Abmessung: 234mm x 156mm x 17mm
• Gewicht: 462g
• ISBN-13: 9780750306652
• ISBN-10: 0750306653
• Artikelnr.: 23440996

Autorenporträt

Thomas Baeck

Inhaltsangabe

FITNESS EVALUATION
Introduction to fitness evaluation
Encoding and decoding functions
Competitive fitness evaluation
Complexity-based fitness evaluation
Multiobjective optimization
CONSTRAINT-HANDLING TECHNIQUES
Introduction to constraint-handling techniques
Penalty functions
Decoders
Repair algorithms
Constraint-preserving operators
Other constraint-handling methods
Constraint-satisfaction problems
POPULATION STRUCTURES
Niching methods
Speciation methods
Island (migration) models: evolutionary algorithms based on punctuated
equilibria
Diffusion (cellular) models
ADVANCED TECHNIQUES IN EVOLUTIONARY COMPUTATION
Population sizing
Mutation parameters
Recombination parameters
Parameter control
Self-adaptation
Meta-evolutionary approaches
Coevolutionary algorithms
IMPLEMENTATION OF EVOLUTIONARY ALGORITHMS
Efficient implementation of algorithms
Computation time of evolutionary operators
Hardware realizations of evolutionary algorithms
INDEX