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New advancements in swarm algorithms...

Fausto, Fernando.

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New advancements in swarm algorithms: operators and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	New advancements in swarm algorithms: operators and applications/ by Erik Cuevas, Fernando Fausto, Adrian Gonzalez.
Author:	Cuevas, Erik.
other author:	Fausto, Fernando.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xv, 296 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Algorithms. -
Online resource:	https://doi.org/10.1007/978-3-030-16339-6
ISBN:	9783030163396

New advancements in swarm algorithms: operators and applications
Cuevas, Erik.

New advancements in swarm algorithms: operators and applications[electronic resource] /by Erik Cuevas, Fernando Fausto, Adrian Gonzalez. - Cham :Springer International Publishing :2020. - xv, 296 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1601868-4394 ;. - Intelligent systems reference library ;v.160..

This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.

ISBN: 9783030163396

Standard No.: 10.1007/978-3-030-16339-6doiSubjects--Topical Terms:

536374
Algorithms.

LC Class. No.: QA9.58

Dewey Class. No.: 518.1

New advancements in swarm algorithms: operators and applications
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245 1 0 $a New advancements in swarm algorithms: operators and applications $h [electronic resource] / $c by Erik Cuevas, Fernando Fausto, Adrian Gonzalez.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xv, 296 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.160
520 $a This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.
650 0 $a Algorithms. $3 536374
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700 1 $a Fausto, Fernando. $3 3442880
700 1 $a Gonzalez, Adrian. $3 3442881
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950 $a Intelligent Technologies and Robotics (Springer-42732)