Preface.- Optimization under Composite Monotonic Constraints and Constrained Optimization over the Efficient Set (H. Tuy, N.T. Hoai-Phuong).- On a Local Search for Reverse Convex Problems (A. Strekalovsky).- Some Transformation Techniques in Global Optimization (T. Westerlund).- Solving Nonlinear Mixed Integer Stochastic Problems: A Global Perspective (M.E. Bruni).- Application of Quasi Monte Carlo Methods in Global Optimization (S. Kucherenko).- GLOB-A New VNS-Based Software for Global Optimization (M. Drazic, V. Kovacevic-Vujcic, M. Cangalovic, N. Mladenovic).- Disciplined Convex Programming (M. Grant, S. Boyd, Y. Ye).- Writing Global Optimization Software (L. Liberti).- MathOptimizer Professional: Key Features and Illustrative Applications (J.D. Pintér, F.J. Kampas).- Variable Neighborhood Search for Extremal Graphs 14: The AutoGraphiX 2 System (M. Aouchiche, J.M. Bonnefoy, A. Fidahoussen, G. Caporossi, P. Hansen, L. Hiesse, J. Lacheré, A. Monhait).- From Theory to Implementation: Applying Metaheuristics (I.J. García del Amo, F. García López, M. García Torres, B. Melián Batista, J.A. Moreno Pérez, J.M. Moreno Vega).- ooMILP-A C++ Callable Object-Oriented Library and the Implementation of Its Parallel Version Using CORBA (P. Tsiakis, B. Keeping).- Global Order-Value Optimization by Means of a Multistart Harmonic Oscillator Tunneling Strategy (R. Andreani, J.M. Martinez, M. Salvatierra, F. Yano).- On Generating Instances for the Molecular Distance Geometry Problem (C. Lavor).- Index.

Most global optimization literature focuses on theory. This book, however, contains descriptions of new implementations of general-purpose or problem-specific global optimization algorithms. It discusses existing software packages from which the entire community can learn. The contributors are experts in the discipline of actually getting global optimization to work, and the book provides a source of ideas for people needing to implement global optimization software.