Evolutionary Algorithms in Engineering Applications
Editors: Dasgupta, Dipankar, Michalewicz, Zbigniew (Eds.)
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- About this book
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Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.
- Table of contents (30 chapters)
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Evolutionary Algorithms — An Overview
Pages 3-28
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Robust Encodings in Genetic Algorithms
Pages 29-44
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Genetic Engineering and Design Problems
Pages 47-68
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The Generation of Form Using an Evolutionary Approach
Pages 69-85
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Evolutionary Optimization of Composite Structures
Pages 87-102
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Table of contents (30 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Evolutionary Algorithms in Engineering Applications
- Editors
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- Dipankar Dasgupta
- Zbigniew Michalewicz
- Copyright
- 1997
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-662-03423-1
- DOI
- 10.1007/978-3-662-03423-1
- Hardcover ISBN
- 978-3-540-62021-1
- Softcover ISBN
- 978-3-642-08282-5
- Edition Number
- 1
- Number of Pages
- XXI, 555
- Topics
