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ISCIS
2003
Springer

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A New Continuous Action-Set Learning Automaton for Function Optimization

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A New Continuous Action-Set Learning Automaton for Function Optimization

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In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorrupted value of function at any chosen point in the parameter space is available. We ﬁrst introduce a new continuous action-set learning automaton (CALA) and study its convergence properties. Then we give an algorithm for optimizing an unknown function. r 2005 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

Hamid Beigy, Mohammad Reza Meybodi

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Action-set Learning Automaton | Continuous Action-set Learning | ISCIS 2003 | Stochastic Optimization Problems |

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Added	07 Jul 2010
Updated	07 Jul 2010
Type	Conference
Year	2003
Where	ISCIS
Authors	Hamid Beigy, Mohammad Reza Meybodi

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