Learning Automata and Stochastic Optimization: 225 - Brossura

Poznyak, A.S.

Brossura

ISBN 10: 3540761543 ISBN 13: 9783540761549

Casa editrice: Springer, 1997

Riassunto

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.

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Contenuti

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

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 3540761543
• ISBN 13: 9783540761549
• Rilegatura: Copertina flessibile
• Numero di pagine: 220
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania