Evolutionary Computation with Biogeography-based Optimization

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering
Cover of the book Evolutionary Computation with Biogeography-based Optimization by Dan Simon, Haiping Ma, Wiley
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Author: Dan Simon, Haiping Ma ISBN: 9781119136514
Publisher: Wiley Publication: January 18, 2017
Imprint: Wiley-ISTE Language: English
Author: Dan Simon, Haiping Ma
ISBN: 9781119136514
Publisher: Wiley
Publication: January 18, 2017
Imprint: Wiley-ISTE
Language: English

Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based 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 cross-disciplinary 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.

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Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeography-based 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 cross-disciplinary 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.

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