Behrooz Masoumi

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Index Terms: Entropy Learning automata Markov games Multi agent systems Stigmergy a b s t r a c t Learning automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms and are able to control the stochastic games. In this paper, the concepts of stigmergy and entropy are imported into learning automata(More)
Markov games, as the generalization of Markov decision processes to the multi-agent case, have long been used for modeling multi-agent systems (MAS). The Markov game view of MAS is considered as a sequence of games having to be played by multiple players while each game belongs to a different state of the environment. In this paper, several learning(More)
— RoboCup Rescue Simulation System is a suitable test-bed for test and evaluation of multiagent system's related ideas and techniques. Hence, the world RoboCup competitions is hold each year and the used ideas and techniques are evaluated in the form of different teams. Almost all of participated teams in the world RoboCup competitions use the shortest path(More)
In Many real-world optimization problems, optimization goals, the problem instances or some restrictions may change over time. One of the famous problems in the dynamic environments optimization is moving peaks benchmark function or the moving maximum that behavior is similar to dynamic problems in real-world. In this paper, Memetics algorithm based on(More)
The new generations of networks are sensor networks which typically consist of a large number of nodes that are connected wirelessly. The main idea of these types of networks is collecting data around the network's sensors. Since the sensors nodes work with the battery and there is no possibility to change or recharge these batteries, the life time of(More)
In electronic commerce markets, agents often should acquire multiple resources to fulfill a high-level task. In order to attain such resources they need to compete with each other. In multi-agent environments, in which competition is involved, negotiation would be an interaction between agents in order to reach an agreement on resource allocation and to be(More)
In electronic commerce markets, agents often should acquire multiple resources to fulfil a high-level task. In order to attain such resources they need to compete with each other. In multi-agent environments, in which competition is involved, negotiation would be an interaction between agents in order to reach an agreement on resource allocation and to be(More)
Text summarization is the objective extraction of some parts of the text, such as sentence and paragraph, as the document abstract. If there are documents with a large amount of information, extractive text summarization would be arisen as an NP-complete problem. To solve these problems, metaheuristic algorithms are used. In this paper, a method based on(More)