Evolutionary Computation with Biogeography-Based Optimization - Info and Reading Options
By Dan Simon and Haiping Ma
"Evolutionary Computation with Biogeography-Based Optimization" was published by Wiley & Sons, Incorporated, John in 2017 - London, UK : Hoboken, NJ, USA, it has 344 pages and the language of the book is English.
“Evolutionary Computation with Biogeography-Based Optimization” Metadata:
- Title: ➤ Evolutionary Computation with Biogeography-Based Optimization
- Authors: Dan SimonHaiping Ma
- Language: English
- Number of Pages: 344
- Publisher: ➤ Wiley & Sons, Incorporated, John
- Publish Date: 2017
- Publish Location: London, UK : Hoboken, NJ, USA
“Evolutionary Computation with Biogeography-Based Optimization” Subjects and Themes:
- Subjects: Evolutionary computation - Biogeography - Mathematical optimization - Metaheuristics
Edition Specifications:
- Weight: 0.636
Edition Identifiers:
- The Open Library ID: OL34518023M - OL21574707W
- ISBN-13: 9781848218079
- All ISBNs: 9781848218079
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"Evolutionary Computation with Biogeography-Based Optimization" Description:
Open Data:
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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