Genetic Algorithms + Data Structures = Evolution Programs
3rd Edition
Published on 9. March 2013
XX, 387 pages
978-3-662-03315-9 (ISBN)
Description
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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Zbigniew Michalewicz
Genetic Algorithms + Data Structures = Evolution Programs
Book
09/2011
3rd Edition
Springer
€117.69
Shipment within 7-9 days
Zbigniew Michalewicz
Genetic Algorithms + Data Structures = Evolution Programs
Book
03/1996
3rd Edition
Springer
€160.49
Shipment within 7-9 days
Previous edition
Zbigniew Michalewicz
Genetic Algorithms + Data Structures = Evolution Programs
E-Book
03/2013
2nd Edition
Springer
€85.59
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Content
1 GAs: What Are They?.- 2 GAs: How Do They Work?.- 3 GAs: Why Do They Work?.- 4 GAs: Selected Topics.- 5 Binary or Float?.- 6 Fine Local Tuning.- 7 Handling Constraints.- 8 Evolution Strategies and Other Methods.- 9 The Transportation Problem.- 10 The Traveling Salesman Problem.- 11 Evolution Programs for Various Discrete Problems.- 12 Machine Learning.- 13 Evolutionary Programming and Genetic Programming.- 14 A Hierarchy of Evolution Programs.- 15 Evolution Programs and Heuristics.- 16 Conclusions.- Appendix A.- Appendix B.- Appendix C.- Appendix D.- References.
