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Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications by Tarik A. Rashid, Aram M. Ahmed, Bryar A. Hassan, Zaher Mundher Yaseen, Seyedali Mirjalili, Nebojsa Bacanin, Sinan Q. Salih ISBN 9781032589985, 1032589981, B0DXCK8Q4F instant download

  • SKU: EBN-233797338
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Instant download (eBook) Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications after payment.
Authors:Tarik A. Rashid, Aram M. Ahmed, Bryar A. Hassan, Zaher Mundher Yaseen, Seyedali Mirjalili, Nebojsa Bacanin, Sinan Q. Salih
Pages:updating ...
Year:2025
Publisher:Taylor & Francis Group
Language:english
File Size:16.16 MB
Format:pdf
ISBNS:9781032589985, 1032589981, B0DXCK8Q4F
Categories: Ebooks

Product desciption

Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications by Tarik A. Rashid, Aram M. Ahmed, Bryar A. Hassan, Zaher Mundher Yaseen, Seyedali Mirjalili, Nebojsa Bacanin, Sinan Q. Salih ISBN 9781032589985, 1032589981, B0DXCK8Q4F instant download

Grasshopper Optimization Algorithm, e-Healthcare Applications, Intelligent Systems, Cat Swarm Optimization Algorithm, Edge Computing, Cloud Computing
The text establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of the multi-objective optimization algorithms.;Presents a thorough analysis of equations, mathematical models, and mechanisms of multi-objective optimization algorithms.;;Explores different alternatives of the 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 undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and mathematics.
The text establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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