Non-Convex Multi-Objective Optimization

• Κύριοι συγγραφείς: Pardalos, Panos M. (Συγγραφέας), Žilinskas, Antanas (Συγγραφέας), Žilinskas, Julius (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Springer Optimization and Its Applications, 123
• Θέματα: Mathematics.; Computer science > Mathematics.; Computer mathematics.; Algorithms.; Mathematical optimization.; Optimization.; Mathematical Applications in Computer Science.

Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trad...

Πίνακας περιεχομένων:

• 1. Definitions and Examples
• 2. Scalarization
• 3. Approximation and Complexity
• 4. A Brief Review of Non-Convex Single-Objective Optimization
• 5. Multi-Objective Branch and Bound
• 6. Worst-Case Optimal Algorithms
• 7. Statistical Models Based Algorithms
• 8. Probabilistic Bounds in Multi-Objective Optimization
• 9. Visualization of a Set of Pareto Optimal Decisions
• 10. Multi-Objective Optimization Aided Visualization of Business Process Diagrams. –References
• Index.