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Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Copyright: © 2013 |Pages: 375
ISBN13: 9781466621459|ISBN10: 1466621451|EISBN13: 9781466621466
DOI: 10.4018/978-1-4666-2145-9
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MLA

Yin, Peng-Yeng, editor. Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches. IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2145-9

APA

Yin, P. (Ed.). (2013). Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches. IGI Global. https://doi.org/10.4018/978-1-4666-2145-9

Chicago

Yin, Peng-Yeng, ed. Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2145-9

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Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving.

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Editorial Advisory Board
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Preface
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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