Genetic Algorithms + Data Structures = Evolution Programs [electronic resource] /
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.
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Format: | Texto biblioteca |
Language: | eng |
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Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
1996
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Subjects: | Computer science., Software engineering., Computer programming., Artificial intelligence., Algorithms., Numerical analysis., Computer Science., Artificial Intelligence (incl. Robotics)., Software Engineering/Programming and Operating Systems., Numerical Analysis., Programming Techniques., Software Engineering., |
Online Access: | http://dx.doi.org/10.1007/978-3-662-03315-9 |
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KOHA-OAI-TEST:2134482018-07-30T23:47:03ZGenetic Algorithms + Data Structures = Evolution Programs [electronic resource] / Michalewicz, Zbigniew. author. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,1996.engGenetic 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.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.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.Computer science.Software engineering.Computer programming.Artificial intelligence.Algorithms.Numerical analysis.Computer Science.Artificial Intelligence (incl. Robotics).Software Engineering/Programming and Operating Systems.Algorithms.Numerical Analysis.Programming Techniques.Software Engineering.Springer eBookshttp://dx.doi.org/10.1007/978-3-662-03315-9URN:ISBN:9783662033159 |
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Computer science. Software engineering. Computer programming. Artificial intelligence. Algorithms. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Algorithms. Numerical Analysis. Programming Techniques. Software Engineering. Computer science. Software engineering. Computer programming. Artificial intelligence. Algorithms. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Algorithms. Numerical Analysis. Programming Techniques. Software Engineering. |
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Computer science. Software engineering. Computer programming. Artificial intelligence. Algorithms. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Algorithms. Numerical Analysis. Programming Techniques. Software Engineering. Computer science. Software engineering. Computer programming. Artificial intelligence. Algorithms. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Algorithms. Numerical Analysis. Programming Techniques. Software Engineering. Michalewicz, Zbigniew. author. SpringerLink (Online service) Genetic Algorithms + Data Structures = Evolution Programs [electronic resource] / |
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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. |
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Texto |
topic_facet |
Computer science. Software engineering. Computer programming. Artificial intelligence. Algorithms. Numerical analysis. Computer Science. Artificial Intelligence (incl. Robotics). Software Engineering/Programming and Operating Systems. Algorithms. Numerical Analysis. Programming Techniques. Software Engineering. |
author |
Michalewicz, Zbigniew. author. SpringerLink (Online service) |
author_facet |
Michalewicz, Zbigniew. author. SpringerLink (Online service) |
author_sort |
Michalewicz, Zbigniew. author. |
title |
Genetic Algorithms + Data Structures = Evolution Programs [electronic resource] / |
title_short |
Genetic Algorithms + Data Structures = Evolution Programs [electronic resource] / |
title_full |
Genetic Algorithms + Data Structures = Evolution Programs [electronic resource] / |
title_fullStr |
Genetic Algorithms + Data Structures = Evolution Programs [electronic resource] / |
title_full_unstemmed |
Genetic Algorithms + Data Structures = Evolution Programs [electronic resource] / |
title_sort |
genetic algorithms + data structures = evolution programs [electronic resource] / |
publisher |
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, |
publishDate |
1996 |
url |
http://dx.doi.org/10.1007/978-3-662-03315-9 |
work_keys_str_mv |
AT michalewiczzbigniewauthor geneticalgorithmsdatastructuresevolutionprogramselectronicresource AT springerlinkonlineservice geneticalgorithmsdatastructuresevolutionprogramselectronicresource |
_version_ |
1756269206769238016 |