Evolutionary Computation with Biogeography-based Optimization

Haiping Ma, Dan Simon (Cleveland State University), Dan Simon

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Hardback

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English

ISTE Ltd and John Wiley & Sons Inc
14 February 2017

Optimisation; Biogeography; Algorithms & data structures

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.

By: Haiping Ma, Dan Simon (Cleveland State University), Dan Simon
Imprint: ISTE Ltd and John Wiley & Sons Inc
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 160mm, Spine: 23mm
Weight: 635g
ISBN: 9781848218079
ISBN 10: 1848218079
Pages: 352
Publication Date: 14 February 2017
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Haiping Ma, Shangai University, China. Dan Simon, Professor, Cleveland State University, USA.