Multi-Objective Optimization using Artificial Intelligence Techniques

Overview

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.

Content and Topics

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.

Benefits and Resources

Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problems. The book provides the source codes for all the proposed algorithms on a dedicated webpage.