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Evolutionary computation with biogeography-based optimization

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Evolutionary computation with biogeography-based optimization

Material type
図書
Author
Haiping Ma, Dan Simon
Publisher
ISTE : Wiley
Publication date
2017
Material Format
Paper
Capacity, size, etc.
25 cm
NDC
-
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Notes on use

Note (General):

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeographybased optimization (BBO) is an opti...

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Paper

Material Type
図書
ISBN
9781848218079
Author/Editor
Haiping Ma, Dan Simon
Author Heading
Publication, Distribution, etc.
Publication Date
2017
Publication Date (W3CDTF)
2017
Size
25 cm
Place of Publication (Country Code)
uk
Text Language Code
en
Target Audience
一般
Note (General)
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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国立情報学研究所 : CiNii Research
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CiNii Books