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Hybrid metaheuristics = research and...

Bhattacharyya, Siddhartha, (1975-)

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Hybrid metaheuristics = research and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hybrid metaheuristics/ Siddhartha Bhattacharyya.
其他題名:	research and applications /
作者:	Bhattacharyya, Siddhartha,
出版者:	Singapore :World Scientific, : c2019.,
面頁冊數:	1 online resource (311 p.) :ill.
標題:	Heuristic programming. -
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/10989#t=toc
ISBN:	9789813270237

Hybrid metaheuristics = research and applications /
Bhattacharyya, Siddhartha,1975-

Hybrid metaheuristicsresearch and applications /[electronic resource] :Siddhartha Bhattacharyya. - 1st ed. - Singapore :World Scientific,c2019. - 1 online resource (311 p.) :ill. - Series in machine perception and artificial intelligence,v. 841793-0839 ;. - Series in machine perception and artificial intelligence ;v. 84..

Includes bibliographical references and index.

"A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information. This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems. The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning."--

Electronic reproduction.
Singapore :
World Scientific,
[2018]

Mode of access: World Wide Web.

ISBN: 9789813270237Subjects--Topical Terms:

698997
Heuristic programming.

LC Class. No.: T57.84 / .B43 2019

Dewey Class. No.: 006.3

Hybrid metaheuristics = research and applications /
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504 $a Includes bibliographical references and index.
520 $a "A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information. This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems. The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning."-- $c Publisher's website.
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