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Learning automata (LA) is an abstract model which can be used to guide action selection at any stage of a system by past actions and environment responses to improve some overall performance function. The use of intelligent algorithms based on learning automata can be efficient for traffic control. However, these learning schemes have been focused only to unimodal routing problem in connection oriented...
Wireless sensor networks are usually made up of a large number of sensor nodes. Such large networks require algorithms which can maintain their performance while the network size gets larger and larger. Clustering is a very efficient method which can help many algorithms become scalable to networks of large sizes. Recently, irregular cellular learning automata is proposed as a suitable modeling tool...
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