國立虎尾科技大學 |

Language: English

Back

Self-organizing migrating algorithm ...

Zelinka, Ivan.

Self-organizing migrating algorithm = methodology and implementation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Self-organizing migrating algorithm/ edited by Donald Davendra, Ivan Zelinka.
Reminder of title:	methodology and implementation /
other author:	Davendra, Donald.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xviii, 289 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Evolutionary computation. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28161-2
ISBN:	9783319281612

Self-organizing migrating algorithm = 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. 50. .

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:

573187
Evolutionary computation.

LC Class. No.: QA76.618

Dewey Class. No.: 006.3823

Self-organizing migrating algorithm = methodology and implementation /
LDR:01719nam a2200313 a 4500 001 862549
003 DE-He213
005 20160824145732.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319281612 $q (electronic bk.)
020 $a 9783319281599 $q (paper)
024 7 $a 10.1007/978-3-319-28161-2 $2 doi
035 $a 978-3-319-28161-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.618
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3823 $2 23
090 $a QA76.618 $b .S465 2016
245 0 0 $a Self-organizing migrating algorithm $h [electronic resource] : $b methodology and implementation / $c edited by Donald Davendra, Ivan Zelinka.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xviii, 289 p. : $b ill., digital ; $c 24 cm.
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 573187
650 0 $a Self-organizing systems. $3 566022
650 1 4 $a Engineering. $3 561152
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Optimization. $3 669174
700 1 $a Davendra, Donald. $3 896587
700 1 $a Zelinka, Ivan. $3 1019414
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v. 50. $3 720500 $3 770436
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28161-2
950 $a Engineering (Springer-11647)

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library