| Title | : | Multi-Objective Optimization using Artificial Intelligence Techniques |
|---|---|---|
| Author | : | Seyedali Mirjalili & Jin Song Dong |
| Release | : | 2019-07-24 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Professional & Technical, Engineering, Business & Personal Finance, Management & Leadership, Computers, Science & Nature, Mathematics |
| Size | : | 8767292 |
| 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. |
