

Evolutionary Computation volume 1 2
Title: Evolutionary Computation 2 (Advanced Algorithms and Operators)
Author: Thomas Back
Publisher: Iop Institute of Physics
Publication Date: 2000-11-20
Number Of Pages: 270
Summary:
This volume 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 implementation of evolutionary algorithms. It is intended to be used by individual researchers and by teachers and students in the expanding field of evolutionary computation.
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Title: Evolutionary Computation 1: Basic Algorithms and Operators (Evolutionary Computation)
Author: Thomas Back
Publisher: Institute of Physics Publishing
Publication Date: 2000-05-15
Number Of Pages: 339
Review
"This new volume contains some extended material and provides basic information on evolutionary algorithms. . . This book provides an interesting reference for theorists, teachers, and practitioners also." H D Hecker in Zentralblatt Math " ew volume contains some extended material and provides basic information on evolutionary algorithms. . . This book provides an interesting reference for theorists, teachers, and practitioners also." H D Hecker in Zentralblatt Math "
Book Description
The field of evolutionary computation is expanding dramatically, fueled by vast investment reflecting the value of applications of its techniques.The number of courses offered in evolutionary computing is growing rapidly: reflecting demand for material published in Handbook of Evolutionary Computation to be published in units suitable for use by students and teachers as well as individual researchers, we are publishing two volumes on algorithms and operators. The books contain material which has been brought right up to date, as well as some new contributions.This volume discusses the basic ideas which underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, genetic programming. It is intended to be used by individual researchers and by teachers and students in the expanding field of evolutionary computation.
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