Non-Convex Multi-Objective Optimization

519.6

Pardalos, Panos M. Non-Convex Multi-Objective Optimization by Panos M. Pardalos, Antanas Žilinskas, Julius Žilinskas. -
XII, 192 p. 18 illus., 4 illus. in color. online resource. - (Springer Optimization and Its Applications, 123) Content notes : 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. 9783319610078 * Mathematical optimization. Algorithms. Optimization. Algorithms. Mathematical Applications in Computer Science. * Žilinskas, Antanas., aut, http://id.loc.gov/vocabulary/relators/autŽilinskas, Julius., aut, http://id.loc.gov/vocabulary/relators/aut * Title * Series