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 opti...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Rashid, Tarik A. (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press, 2025.
Edition:	First edition.
Subjects:	Algorithms. Algorithmes. algorithms. TECHNOLOGY / Electricity TECHNOLOGY / Electronics / General Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1. Introduction to Metaheuristic Algorithms. 2. A Review of Recent Multi-objective Optimization Algorithms. 3. A New Binary Multi-objective Grasshopper Optimization Algorithm. 4. Multi-objective Fox Optimization Algorithms. 5. A New Multi-objective Cat Swarm Optimization Algorithm. 6. Multi-objective Ant Nesting Optimization Algorithms. 7. Advanced Hybrid Multi-objective Optimization Algorithms. 8. Multi-objective Optimization for Engineering Applications. 9. Multi-objective Optimization for Feature Selection in E-Health Applications. 10. Multi-objective Optimization for Scheduling Applications. 11. Multi-objective Optimization for Cloud, Fog, and Edge Computing. 12. Conclusion.