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商品詳細
Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications.
・ISBN 978-1-032-58998-5 hard GB£ 187.99
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お気に入り
★★★
| 著者・編者 | Rashid, Tarik A. / Ahmed, Aram Mahmoon / Hassan, Bryar A. / Yaseen, Zaher Mundher / Mirjalili, Seyedali / Bacanin, Nebojsa / Salih, Sinan Q. (eds.), |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2025 |
| ページ数 | 342 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-76107＞ |
解説
The book establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of multi-objective optimization algorithms.
- Presents a thorough analysis of equations, mathematical models, and mechanisms of multi-objective optimization algorithms.
- Explores different alternatives of multi-objective optimization algorithms to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems.
- Illustrates how to design, develop, and test different hybrids of multi-objective optimization algorithms.
- Discusses multi-objective optimization techniques for cloud, fog, and edge computing.
- Highlights applications of multi-objective optimization in diverse sectors such as engineering, e-healthcare, and scheduling.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer science and engineering, and mathematics.