Learning Automata and Stochastic Optimization

• Main Authors: Poznyak, A.S (Author, http://id.loc.gov/vocabulary/relators/aut), Najim, K. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.
• Edition: 1st ed. 1997.
• Series: Lecture Notes in Control and Information Sciences, 225
• Subjects: Control engineering.; Robotics.; Mechatronics.; Vibration.; Dynamical systems.; Dynamics.; Statistical physics.; Control, Robotics, Mechatronics.; Vibration, Dynamical Systems, Control.; Complex Systems.; Statistical Physics and Dynamical Systems.

In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a...

Table of Contents:

• Stochastic optimization
• On learning automata
• Unconstrained optimization problems
• Constrained optimization problems
• Optimization of nonstationary functions.