A.S. Poznyak, K. Najim

Learning Automata and Stochastic Optimization

• Broschiertes Buch

Produktbeschreibung

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 significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics.

Produktdetails

• Lecture Notes in Control and Information Sciences 225
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 10554938, 978-3-540-76154-9
• 1997
• Seitenzahl: 220
• Erscheinungstermin: 12. März 1997
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 348g
• ISBN-13: 9783540761549
• ISBN-10: 3540761543
• Artikelnr.: 27508189

Inhaltsangabe

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