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Self-Organizing Migrating Algorithm ...
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SpringerLink (Online service)
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.
Description:
XVIII, 289 p. 128 illus., 87 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-28161-2
ISBN:
9783319281612
Self-Organizing Migrating Algorithm = Methodology and Implementation /
Self-Organizing Migrating Algorithm
Methodology and Implementation /[electronic resource] :edited by Donald Davendra, Ivan Zelinka. - 1st ed. 2016. - XVIII, 289 p. 128 illus., 87 illus. in color.online resource. - Studies in Computational Intelligence,6261860-949X ;. - Studies in Computational Intelligence,564.
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:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Self-Organizing Migrating Algorithm = Methodology and Implementation /
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