Non-Convex Multi-Objective Optimization

Non-Convex Multi-Objective Optimization

Zilinskas, Antanas; Pardalos, Panos M.; Zilinskas, Julius

Springer International Publishing AG

06/2018

192

Mole

Inglês

9783319869810

15 a 20 dias

454

Descrição não disponível.
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.
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Branch-and-Bound approach;Lipschitz optimization;applications in engineering;non-convex multi-objective optimization;randomized algorithms;software and applications;Scalarization;Tchebycheff Method;Pareto Sets;Normal Boundary Intersection;Statistical Models for Global Optimization;Optimal Algorithms for Lipschitz Functions;Optimal Passive Algorithm;Optimal Sequential Algorithm;Multidimensional Bi-Objective Lipschitz Optimization;Pareto Frontier;Trisection of a Hyper-rectangle;Pareto Optimal Decisions;Binary-Linear Model;continuous problems