Author | : Seyedali Mirjalili |
File Size | : 52,7 Mb |
Publisher | : Springer |
Language | : English |
Release Date | : 24 July 2019 |
ISBN | : 9783030248352 |
Pages | : 58 pages |
Multi Objective Optimization using Artificial Intelligence Techniques by Seyedali Mirjalili Book PDF Summary
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.