Multi-Objective Optimization Using Artificial Intelligence Techniques
Paperback 69 pages English Aug 07, 2019
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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.
- Author:
- Seyedali Mirjalili, Jin Song Dong
- Publisher:
- Springer
- Publication Date:
- Aug 07, 2019
- Number of pages:
- 69 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 3030248348
- ISBN-13:
- 9783030248345