The Year 2000 recipient of the INFORMS Computing Society Prize for Research Excellence in the Interface Between Operations Research and Computer Science

One Global Optimization: A Brief Review.- 1.1 General Problem Statement and Special Model Forms.- 1.2 Solution Approaches.- Two Partition Strategies in Global Optimization: The Continuous and the Lipschitzian Case.- 2.1 An Introduction to Partition Algorithms.- 2.2 Convergence Properties of Adaptive Partition Algorithms.- 2.3 Partition Algorithms on Intervals.- 2.4 Partition Algorithms on Multidimensional Intervals.- 2.5 Simplex Partition Strategies.- 2.6 Partition Methods on General Convex and Star Sets.- 2.7 Partition Strategies in General Lipschitz Optimization.- Three Implementation Aspects, Algorithm Modifications and Stochastic Extensions.- 3.1 Diagonally Extended Univariate Algorithms for Multidimensional Global Optimization.- 3.2 Estimation of Lipschitzian Problem Characteristics in Global Optimization.- 3.3 General Lipschitz Optimization Applying Penalty Multipliers.- 3.4 An Implementation of a Lipschitzian Global Optimization Procedure.- 3.5 Decision Making under Uncertainty:Stochastic Model Forms.- 3.6 Adaptive Stochastic Optimization Procedures.- 3.7 Estimation of Noise-Perturbed Function Values.- Four Applications.- 4.1 Nonlinear Approximation: Systems of Equations and Inequalities.- 4.2 Data Classification (Clustering) and Related Problems.- 4.3 Aggregation of Negotiated Expert Opinions.- 4.4 Product (Mixture) Design.- 4.5 Globally Optimized Calibration of Complex System Models.- 4.6 Calibration Model Versions, Illustrated by Examples.- 4.7 Dynamic Modelling of Phosphorus Release from Sediments.- 4.8 Aquifer Model Calibration.- 4.9 Industrial Wastewater Management.- 4.10 Multiple Source River Pollution Management.- 4.11 Lake Eutrophication Management.- 4.12 Risk Management of Accidental Water Pollution.- Afterword.- Some Further Research Perspectives.- References.