Springer - Stochastic Global Optimization and Fuzzy ASA Book

Stochastic global optimization serves as a vital subject across nearly all sectors of science and technology. This volume from the Intelligent Systems Reference Library provides a deep look into successful and mature algorithms designed to solve complex problems. Readers will explore various techniques for addressing difficult challenges using Adaptive Simulated Annealing (ASA) and its advanced version, Fuzzy Adaptive Simulated Annealing (Fuzzy ASA). By utilizing a fuzzy-controlled version of ASA, this book offers a sophisticated approach to global optimization. It is an essential resource for those studying intelligent systems and looking for effective tools to handle optimization tasks in modern computing and machine learning environments.