Evolutionary computation with biogeography-based optimization /
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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
London, UK : Hoboken, NJ :
ISTE, Ltd. ; John Wiley & Sons, Inc.,
2017.
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| Series: | Computer engineering series (London, England). Metaheuristics set ;
v. 8. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119136507 1119136504 9781119136514 1119136512 9781119136545 1119136547 |