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Multi-Objective Optimization Using Artificial Intelligence Techniques
Seyedali Mirjalili
(Author)
·
Jin Song Dong
(Author)
·
Springer
· Paperback
Multi-Objective Optimization Using Artificial Intelligence Techniques - Mirjalili, Seyedali ; Dong, Jin Song
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Synopsis "Multi-Objective Optimization Using Artificial Intelligence Techniques"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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