
Multi-Objective Optimization using Artificial Intelligence Techniques
Springer (Publisher)
Published on 7. August 2019
Book
Paperback/Softback
XI, 58 pages
978-3-030-24834-5 (ISBN)
Description
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.
More details
Product info
Book
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
25 farbige Abbildungen, 1 s/w Abbildung
XI, 58 p. 26 illus., 25 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 5 mm
Weight
125 gr
ISBN-13
978-3-030-24834-5 (9783030248345)
DOI
10.1007/978-3-030-24835-2
Schweitzer Classification
Other editions
Additional editions

Seyedali Mirjalili | Jin Song Dong
Multi-Objective Optimization using Artificial Intelligence Techniques
E-Book
07/2019
1st Edition
Springer
€69.54
Available for download