Tools

LEADER 03392cam 22005177i 4500

001 ssj0001836447;

003 WaSeSS;

005 20190313051101.0;

006 m d ;

007 cr n ;

008 160923s2017 enka sb 001 0 eng d;

010 a| 2016954823;

020 a| 9781848218079q| (hardback);

020 a| 1848218079q| (hardback);

035 a| (WaSeSS)ssj0001836447;

042 a| lccopycat;

049 a| EREEa| NEHH;

050 00 a| QA76.618b| .M3 2017;

082 04 a| 006.3/8232| 23;

100 1 a| Ma, Haiping.=| ^A1432647;

245 10 a| Evolutionary computation with biogeography-based optimizationh| [electronic resource] /c| Haiping Ma, Dan Simon.;

300 a| viii, 327 pages :b| illustrations ;c| 25 cm.;

490 1 a| Computer engineering series. Metaheuristics set ;v| volume 8;

504 a| Includes bibliographical references (pages 309-323) and index.;

505 0 a| 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.;

506 a| Available only to authorized users.;

520 8 a| 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.;

538 a| Mode of access: World Wide Web;

650 0 a| Evolutionary computation.=| ^A494376;

650 0 a| Metaheuristics.=| ^A1480143;

650 7 a| Evolutionary computation.2| fast0| (OCoLC)fst00917338;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Simon, Dan,d| 1960-=| ^A694451;

830 0 a| Computer engineering series (London, England).p| Metaheuristics set ;v| 8.=| ^A1325937;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=4790361;

947 a| (OCoLC)ocn972436150;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 5024519;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5024519-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 2/23/2019x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5024519-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 2/23/2019x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5024519-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 2/23/2019x| EBOOKz| JERESOURCE;

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

Author/creator	Ma, Haiping
Other author	Simon, Dan, 1960-
Format	Electronic
Publication Info	London, UK : ISTE ; Hoboken, NJ, USA : Wiley, 2017.
Description	viii, 327 pages : illustrations ; 25 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Evolutionary computation. Metaheuristics.

Series	Computer engineering series. Metaheuristics set ; volume 8 Computer engineering series (London, England). Metaheuristics set ; 8. ^A1325937
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.
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.
Bibliography note	Includes bibliographical references (pages 309-323) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2016954823
ISBN	9781848218079 (hardback)
ISBN	1848218079 (hardback)

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available

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

Click here for more information about this title

Availability