Handbook of Global Optimization

Abstract

Preface. 1. Tight relaxations for nonconvex optimization problems using the Reformulation-Linearization/Convexification Technique (RLT) H.D. Sherali. 2. Exact algorithms for global optimization of mixed-integer nonlinear programs M. Tawarmalani, N.V. Sahinidis. 3. Algorithms for global optimization and discrete problems based on methods for local optimization W. Murray, Kien-Ming Ng. 4. An introduction to dynamical search L. Pronzato, et al. 5. Two-phase methods for global optimization F. Schoen. 6. Simulated annealing algorithms for continuous global optimization M. Locatelli. 7. Stochastic Adaptive Search G.R. Wood, Z.B. Zabinsky. 8. Implementation of Stochastic Adaptive Search with Hit-and-Run as a generator Z.B. Zabinsky, G.R. Wood. 9. Genetic algorithms J.E. Smith. 10. Dataflow learning in coupled lattices: an application to artificial neural networks J.C. Principe, et al. 11. Taboo Search: an approach to the multiple-minima problem for continuous functions D. Cvijovic, J. Klinowski. 12. Recent advances in the direct methods of X-ray crystallography H.A. Hauptman. 13. Deformation methods of global optimization in chemistry and physics L. Piela. 14. Experimental analysis of algorithms C.C. McGeoch. 15. Global optimization: software, test problems, and applications J.D. Pinter.