Introduction of micro-cellular networks offer a potential increase in capacity of cellular networks, but they create problems in management of the cellular networks. A solution to these problems is self-organizing channel assignment algorithm with distributed control. In this paper, ''le first introduce the model of cellular learning automata in which learning automata are used to adjust the st...

Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that a set of decentralized, independent learning automata is able to control a finite Markov Chain with unknown transition probabilities and rewards. We extend this result to the framework of Multi-Agent MDP’s, a straigh...

One of the basic restrictions in Ad Hoc Wireless Networks is energy supply and because of that proposing of power saving protocols that do the normal tasks of network without significantly diminishing the quality of services of the network and consequently, prolonging the lifetime of network has high importance. So, in this paper a distributed power saving technique for multi-hop ad hoc wireles...

since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. this rese...

This paper presents an approximate algorithm based on distributed learning automata for solving capacitated vehicle routing problem. The vehicle routing problem (VRP) is an NPhard problem and capacitated vehicle routing problem variant (CVRP) is considered here. This problem is one of the NP-hard problems and for this reason many approximate algorithms have been designed for solving it. Distrib...

Learning automata have been found to be useful in the systems with incomplete knowledge. Therefore, it can be used as a tool to solve problems of Ad Hoc networks, where nodes aremobile and operatewithin a dynamic environment, which entails possibly unknown and time varying characteristics. In this paper, after a short review on the related works, learning automata and CEC algorithm, which is a ...