Multi-Objective Optimization using Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology)

Mirjalili, Seyedali; Dong, Jin Song

ISBN 10: 3030248348 / ISBN 13: 9783030248345

Published by Springer, 2019

About this Item

Print on Demand pp. 58.

Seller Inventory # 379620007

Bibliographic Details

• Title: Multi-Objective Optimization using Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology)
• Publisher: Springer
• Publication Date: 2019
• Language: English
• ISBN 10: 3030248348
• ISBN 13: 9783030248345
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.