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Multi-Objective Optimization using Artificial Intelligence Techniques

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multi-Objective Optimization using Artificial Intelligence Techniques/ by Seyedali Mirjalili, Jin Song Dong.
Author:	Mirjalili, Seyedali.
other author:	Dong, Jin Song.
Description:	XI, 58 p. 26 illus., 25 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-24835-2
ISBN:	9783030248352

Multi-Objective Optimization using Artificial Intelligence Techniques
Mirjalili, Seyedali.

Multi-Objective Optimization using Artificial Intelligence Techniques[electronic resource] /by Seyedali Mirjalili, Jin Song Dong. - 1st ed. 2020. - XI, 58 p. 26 illus., 25 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3704. - SpringerBriefs in Computational Intelligence,.

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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Multi-Objective Optimization using Artificial Intelligence Techniques
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