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Multi-objective optimization using a...

Dong, Jin Song.

Multi-objective optimization using artificial intelligence techniques

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-objective optimization using artificial intelligence techniquesby Seyedali Mirjalili, Jin Song Dong.
Author:	Mirjalili, Seyedali.
other author:	Dong, Jin Song.
Published:	Cham :Springer International Publishing :2020.
Description:	xi, 58 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical optimization.
Online resource:	https://doi.org/10.1007/978-3-030-24835-2
ISBN:	9783030248352$q(electronic bk.)

Multi-objective optimization using artificial intelligence techniques
Mirjalili, Seyedali.

Multi-objective optimization using artificial intelligence techniques[electronic resource] /by Seyedali Mirjalili, Jin Song Dong. - Cham :Springer International Publishing :2020. - xi, 58 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

ISBN: 9783030248352$q(electronic bk.)

Standard No.: 10.1007/978-3-030-24835-2doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5 / .M57 2020

Dewey Class. No.: 519.3

Multi-objective optimization using artificial intelligence techniques
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245 1 0 $a Multi-objective optimization using artificial intelligence techniques $h [electronic resource] / $c by Seyedali Mirjalili, Jin Song Dong.
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520 $a This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
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