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

By: Contributor(s): Material type: TextTextSeries: Metaheuristics Set ; Volume 8Publisher: London, [England] : ISTE, 2017Copyright date: ©2017Description: 1 online resource (349 pages) : illustrations, tablesContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119136545 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Evolutionary computation with biogeography-based optimization.DDC classification:
  • 006.3823 23
LOC classification:
  • QA76.618 .M34 2017
Online resources:
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBERA10002065
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBRA10002065
Ebrary Online Books Ebrary Online Books Kandy Available KDEBRA10002065
Total holds: 0

Enhanced descriptions from Syndetics:

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.

Includes bibliographical references and index.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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