Contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods, derivation of lower bounds for minimization problems, and branch-and-bound methods and convergence.
Contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic methods, derivation of lower bounds for minimization problems, and branch-and-bound methods and convergence.
Marco Locatelli is Professor of Operations Research at the University of Parma, Italy. He serves on the editorial boards of Computational Optimization and Applications and the Journal of Global Optimization. His research interests include the theoretical and practical aspects of global optimization.
