
Evolutionary Computation 2
Advanced Algorithms and Operators
CRC Press
1st Edition
Published on 27. July 2017
Book
Hardback
304 pages
978-1-138-41307-8 (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
Undergraduate
Dimensions
Height: 234 mm
Width: 156 mm
Weight
453 gr
ISBN-13
978-1-138-41307-8 (9781138413078)
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
11/2000
1st Edition
Institute of Physics Publishing
€127.60
Shipment within 10-20 days
Persons
Thomas Baeck
Editor
University of Dortmund, Germany
Natural Selection Inc, USA
University of Adelaide, Australia
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