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Taylor & Francis Ltd
Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications
Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications
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- More about Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications
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.
- Publication date: 19 July 2026
- Page count: 342
- Dimensions: Height 154 mm; Width 234 mm; Thickness 22 mm
- Publisher: Taylor & Francis Ltd
- Format: Paperback
- ISBN-13: 9781032989495
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