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Lecture Notes in Control and Information Sciences

Learning Automata and Stochastic Optimization

Authors: Poznyak, A.S., Najim, K.

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About this book

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.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $84.99
price for USA in USD
  • The eBook version of this title will be available soon
  • ISBN 978-3-540-40938-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $109.00
price for USA in USD
  • ISBN 978-3-540-76154-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Learning Automata and Stochastic Optimization
Authors
Series Title
Lecture Notes in Control and Information Sciences
Series Volume
225
Copyright
1997
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag London
eBook ISBN
978-3-540-40938-0
DOI
10.1007/BFb0015102
Softcover ISBN
978-3-540-76154-9
Series ISSN
0170-8643
Edition Number
1
Number of Pages
XII, 207
Number of Illustrations
6 b/w illustrations
Topics

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