Evolutionary computation with biogeography-based optimization / Haiping Ma, Dan Simon.

Format:

Book

Author/Creator:

Ma, Haiping, author.

Simon, Dan, author.

Series:

Metaheuristics Set ; 8.

THEi Wiley ebooks.

Language:

English

Subjects (All):

Evolutionary computation.

Physical Description:

1 online resource (349 pages) : illustrations, tables.

Edition:

1st ed.

Place of Publication:

London, [England] : ISTE, 2017.

System Details:

Access using campus network via VPN at home (THEi Users Only).

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.

Contents:

The Science of Biogeography

Biogeography and Biological Optimization

A Basic BBO Algorithm

BBO Extensions

BBO as a Markov Process

Dynamic System Models of BBO

Statistical Mechanics Approximations of BBO

BBO for Combinatorial Optimization

Constrained BBO

BBO in Noisy Environments

Multi-objective BBO

Hybrid BBO Algorithms

Appendices. Unconstrained Benchmark Functions

Constrained Benchmark Functions

Multi-objective Benchmark Functions.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781119136514

1119136512

9781119136507

1119136504

OCLC:

969774276