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Self-organizing migrating algorithm[...

Davendra, Donald.

Self-organizing migrating algorithm[electronic resource] :methodology and implementation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3823
書名/作者:	Self-organizing migrating algorithm : methodology and implementation // edited by Donald Davendra, Ivan Zelinka.
其他作者:	Davendra, Donald.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xviii, 289 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Evolutionary computation.
標題:	Self-organizing systems.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Optimization.
ISBN:	9783319281612
ISBN:	9783319281599
摘要、提要註:	This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.
電子資源:	http://dx.doi.org/10.1007/978-3-319-28161-2

Self-organizing migrating algorithm[electronic resource] :methodology and implementation /
Self-organizing migrating algorithmmethodology and implementation /[electronic resource] :edited by Donald Davendra, Ivan Zelinka. - Cham :Springer International Publishing :2016. - xviii, 289 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6261860-949X ;. - Studies in computational intelligence ;v.379..

This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.

ISBN: 9783319281612

Standard No.: 10.1007/978-3-319-28161-2doiSubjects--Topical Terms:

404545
Evolutionary computation.

LC Class. No.: QA76.618

Dewey Class. No.: 006.3823

Self-organizing migrating algorithm[electronic resource] :methodology and implementation /
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490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.626
520 $a This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.
650 0 $a Evolutionary computation. $3 404545
650 0 $a Self-organizing systems. $3 433539
650 1 4 $a Engineering. $3 372756
650 2 4 $a Computational Intelligence. $3 463962
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Optimization. $3 463683
700 1 $a Davendra, Donald. $3 656243
700 1 $a Zelinka, Ivan. $3 590872
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830 0 $a Studies in computational intelligence ; $v v.379. $3 464637
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950 $a Engineering (Springer-11647)

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