Evolutionary computation with biogeography-based optimization
Bibliographic Information
- Title
- "Evolutionary computation with biogeography-based optimization"
- Statement of Responsibility
- Haiping Ma, Dan Simon
- Publisher
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- ISTE : Wiley
- Publication Year
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- 2017
- Book size
- 25 cm
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Notes
Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeographybased optimization (BBO) is an optimization algorithm that is based on the science of biogeography, which researches the migration patterns of species. These migration paradigms provide the main logic behind BBO. Due to the crossdisciplinary nature of the optimization problems, there is a need to develop multiple approaches to tackle them and to study the theoretical reasoning behind their performance. This book explains the mathematical model of BBO algorithm and its variants created to cope with continuous domain problems (with and without constraints) and combinatorial problems
Includes bibliographical references (pages 309-323) and index
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Details 詳細情報について
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- CRID
- 1130000794519790848
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- NII Book ID
- BB2517327X
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- ISBN
- 9781848218079
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- LCCN
- 2016954823
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- Web Site
- https://lccn.loc.gov/2016954823
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- Text Lang
- en
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- Country Code
- uk
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- Title Language Code
- en
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- Place of Publication
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- London, UK
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- Subject
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- Data Source
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- CiNii Books