Advances in Stochastic and Deterministic Global Optimization Gebunden

Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization regression survey calibration inventory management timetabling chemical engineering energy systems and competitive facility location. Graduate students researchers and scientists in computer science numerical analysis optimization and applied mathematics will be fascinated by the theoretical computational and application-oriented aspects of stochastic and deterministic global optimization explored in this book.This volume is dedicated to the 70th birthday of Antanas Zilinskas who is a leading world expert in global optimization. Professor Zilinskas's research has concentrated on studying models for the objective function the development and implementation of efficient algorithms for global optimization with single and multiple objectives and application of algorithms for solving real-world practical problems.