Learning Automata and Stochastic Optimization

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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 ...

Learning Automata and Stochastic Optimization 1997, Springer, Berlin, Germany

ISBN-13: 9783540761549

1997 edition

Trade paperback

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