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Evolutionary Computation with Biogeography-based OptimizationUpplaga 1
- Upplaga: 1a upplagan
- Utgiven: 2017
- ISBN: 9781848218079
- Sidor: 352 st
- Förlag: John Wiley & Sons
- Format: Häftad
- Språk: Engelska
Om boken
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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Mer om Evolutionary Computation with Biogeography-based Optimization (2017)
I mars 2017 släpptes boken Evolutionary Computation with Biogeography-based Optimization skriven av Mehmet Ergezer, Dan Simon. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 352 sidor. Förlaget bakom boken är John Wiley & Sons som har sitt säte i Hoboken.
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Referera till Evolutionary Computation with Biogeography-based Optimization (Upplaga 1)
Harvard
Ergezer, M. & Simon, D. (2017). Evolutionary Computation with Biogeography-based Optimization. 1:a uppl. John Wiley & Sons.
Oxford
Ergezer, Mehmet & Simon, Dan, Evolutionary Computation with Biogeography-based Optimization, 1 uppl. (John Wiley & Sons, 2017).
APA
Ergezer, M., & Simon, D. (2017). Evolutionary Computation with Biogeography-based Optimization (1:a uppl.). John Wiley & Sons.
Vancouver
Ergezer M, Simon D. Evolutionary Computation with Biogeography-based Optimization. 1:a uppl. John Wiley & Sons; 2017.
