Evolutionary Computation 2
Advanced Algorithms and Operators
1st Edition
Published on 20. November 2000
Book
Paperback/Softback
304 pages
978-0-7503-0665-2 (ISBN)
Description
Evolutionary Computation 2: Advanced Algorithms and Operators expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation, and the implementation of evolutionary algorithms. It is intended to be used by individual researchers and students in the expanding field of evolutionary computation.
Reviews / Votes
"This second volume provides very interesting information and updated material on additional topics. It also covers some advanced techniques and discusses the efficient implementation of evolutionary algorithms."-H.D. Hecker, Zentralblatt Math
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 17 mm
Weight
474 gr
ISBN-13
978-0-7503-0665-2 (9780750306652)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Thomas Baeck | D.B Fogel | Z. Michalewicz
Evolutionary Computation 2
Advanced Algorithms and Operators
Book
07/2017
1st Edition
CRC Press
€274.84
Shipment within 10-20 days
Persons
Thomas Baeck
Content
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
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