Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it illustrates optimization models and solution methods in discrete, non-differentiable, stochastic, and nonlinear optimization. Contributions from experts in optimization are showcased in this book showcase a broad range of applications and topics detailed in this volume, including pattern and image recognition, computer vision, robust network design, and process control in nonlinear distributed systems.
This book is dedicated to the 80th birthday of Ivan V. Sergienko, who is a member of the National Academy of Sciences (NAS) of Ukraine and the director of the V.M. Glushkov Institute of Cybernetics. His work has had a significant impact on several theoretical and applied aspects of discrete optimization, computational mathematics, systems analysis and mathematical modeling.
Broadens understanding of optimization models and solution methods
Applies optimization techniques to genetics, health-care, economics, technology, information systems and networks
Shares tips and insights on a range of optimization methods
Sergiy Butenko
global optimization in graphs and networks metaheuristic methods Heuristic methods Combinatorial optimization Risk models in networks discrete optimization Exporting Economies Markov Models Capacitated Clustering Problem Lexicographic Search Boolean Programming Problems Error and Attack Resilient Clusters in Networks Maximum Edge Weight Clique Problem Empirical Means in Stochastic Optimization Problems Multicriteria Stochastic Optimization Problems