Springer Optimization and Its Applications
1 primary work
Book 9
Stochastic Global Optimization
by Anatoly Zhigljavsky and Antanasz Zilinskas
Published 26 November 2007
This book examines the main methodological and theoretical developments in stochastic global optimization. It is designed to inspire readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods. Among the book’s features is a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms.