Multi-Objective Optimization using Artificial Intelligence Techniques [electronic resource]

• Tác giả: Jin Song Dong, Seyedali Mirjalili
• Ngôn ngữ: eng
• ISBN-13: 978-3030248345
• ISBN-13: 978-3030248352
• ISBN-13: 978-3030248369
• Ký hiệu phân loại: 006.3 Artificial intelligence
• Thông tin xuất bản: Cham : Springer International Publishing : Imprint: Springer, 2020.
• Mô tả vật lý: XI, 58 p. 26 illus., 25 illus. in color. , online resource.
• Bộ sưu tập: Công nghệ thông tin
• ID: 158051
• Chủ đề: 1. Computational intelligence; 2. Decision making; 3. Machine learning; 4. Operations research

Tóm tắt

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.