Verkauf durch Sack Fachmedien

Rashid / Ahmed / Hassan

Multi-objective Optimization Techniques

Variants, Hybrids, Improvements, and Applications

Medium: Buch
ISBN: 978-1-032-98949-5
Verlag: Taylor & Francis Ltd
Erscheinungstermin: 20.07.2026
vorbestellbar, Erscheinungstermin ca. Juli 2026

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.


Produkteigenschaften


  • Artikelnummer: 9781032989495
  • Medium: Buch
  • ISBN: 978-1-032-98949-5
  • Verlag: Taylor & Francis Ltd
  • Erscheinungstermin: 20.07.2026
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2026
  • Produktform: Kartoniert
  • Gewicht: 660 g
  • Seiten: 358
  • Format (B x H): 156 x 234 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.