Multi-Objective Optimization Using Artificial Intelligence Techniques

By Jin Song Dong and Seyedali Mirjalili

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.

• Format: Paperback
• Language: English
• ISBN: 3030248348
• ISBN13: 9783030248345
• Release Date: August 2019
• Publisher: Springer
• Length: 58 Pages
• Weight: 0.25 lbs.
• Dimensions: 0.1" x 6.1" x 9.2"