Overview
- Classic introduction to the evolution programming techniques
- Many figures and tables
- The systematic approach makes the book an appropriate text for a senior undergraduate/graduate one semester course
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About this book
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.
The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.
The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.
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Keywords
Table of contents (17 chapters)
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Front Matter
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Introduction
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Genetic Algorithms
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Front Matter
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Numerical Optimization
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Front Matter
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Authors and Affiliations
Bibliographic Information
Book Title: Genetic Algorithms + Data Structures = Evolution Programs
Authors: Zbigniew Michalewicz
DOI: https://doi.org/10.1007/978-3-662-03315-9
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1996
Hardcover ISBN: 978-3-540-60676-5Published: 21 March 1996
Softcover ISBN: 978-3-642-08233-7Published: 22 September 2011
eBook ISBN: 978-3-662-03315-9Published: 09 March 2013
Edition Number: 3
Number of Pages: XX, 387
Number of Illustrations: 14 b/w illustrations
Topics: Artificial Intelligence, Software Engineering/Programming and Operating Systems, Algorithms, Numerical Analysis, Programming Techniques, Software Engineering