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

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Tác giả: Jin Song Dong, Seyedali Mirjalili

Ngôn ngữ:

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

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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