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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
London, [England] :
ISTE
2017.
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| Edition: | 1st ed |
| Series: | Metaheuristics Set ;
8. THEi Wiley ebooks. |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849107706719 |
| 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 (349 pages) : illustrations, tables |
| Format: | Access using campus network via VPN at home (THEi Users Only). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119136514 9781119136507 |
