ABSTRACT
Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic optimization, decision analysis, intelligent systems, evolutionary pro
TABLE OF CONTENTS
part Section I|180 pages
Classical Optimization Techniques
part Section II|216 pages
Applications to Power Systems