Learning Automata and Stochastic Optimization
In the last decade there has been a steadily growing need for and interest in computational methods for solving shastic 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 shastic 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.
"1100829684"
Learning Automata and Stochastic Optimization
In the last decade there has been a steadily growing need for and interest in computational methods for solving shastic 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 shastic 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.
54.99 In Stock
Learning Automata and Stochastic Optimization

Learning Automata and Stochastic Optimization

by A.S. Poznyak, K. Najim
Learning Automata and Stochastic Optimization

Learning Automata and Stochastic Optimization

by A.S. Poznyak, K. Najim

Paperback(1997)

$54.99 
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Overview

In the last decade there has been a steadily growing need for and interest in computational methods for solving shastic 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 shastic 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.

Product Details

ISBN-13: 9783540761549
Publisher: Springer Berlin Heidelberg
Publication date: 04/18/1997
Series: Lecture Notes in Control and Information Sciences , #225
Edition description: 1997
Pages: 207
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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