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Advances in swarm intelligencevariations and adaptations for optimization problems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in swarm intelligenceedited by Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili.
Reminder of title:	variations and adaptations for optimization problems /
other author:	Biswas, Anupam.
Published:	Cham :Springer International Publishing :2023.
Description:	ix, 419 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Swarm intelligence.
Online resource:	https://doi.org/10.1007/978-3-031-09835-2
ISBN:	9783031098352$q(electronic bk.)

Advances in swarm intelligencevariations and adaptations for optimization problems /
Advances in swarm intelligencevariations and adaptations for optimization problems /[electronic resource] :edited by Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili. - Cham :Springer International Publishing :2023. - ix, 419 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10541860-9503 ;. - Studies in computational intelligence ;v. 216..

A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-heuristics, and Swarm Intelligence -- Introductory Review of Swarm Intelligence Techniques -- Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends -- Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems -- Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems.

Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems.

ISBN: 9783031098352$q(electronic bk.)

Standard No.: 10.1007/978-3-031-09835-2doiSubjects--Topical Terms:

237730
Swarm intelligence.

LC Class. No.: Q337.3

Dewey Class. No.: 006.3824

Advances in swarm intelligencevariations and adaptations for optimization problems /
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245 0 0 $a Advances in swarm intelligence $h [electronic resource] : $b variations and adaptations for optimization problems / $c edited by Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili.
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505 0 $a A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-heuristics, and Swarm Intelligence -- Introductory Review of Swarm Intelligence Techniques -- Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends -- Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems -- Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems.
520 $a Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems.
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)