| Multi-Objective Optimization Using Artificial Intelligence Techniques 2020 Edition Contributor(s): Mirjalili, Seyedali (Author), Dong, Jin Song (Author) |
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ISBN: 3030248348 ISBN-13: 9783030248345 Publisher: Springer OUR PRICE: $61.74 Product Type: Paperback Published: August 2019 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Business & Economics | Operations Research - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| Physical Information: 0.15" H x 6.14" W x 9.21" (0.25 lbs) 58 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |