Path-finding in multi-agent, unexplored and dynamic military environment is one of the most important issues for solving in simulators. In this article a substructure of agent Path-finding is created which these agents are placed in an unexplored environment, also they communicate each other and use proposed methods to find targets to reach them. The most important aim of this article is to consider the targets behavior to decrease the required cost for reaching to the targets by improving agent's behavior in a dynamic military environment and improving agent's interactions. In the proposed method each agent has movement ability in a dynamic environment autonomously and they have ability to find targets between obstacles. Therefore to solve this problem all of the necessary constraints to find path in a dynamic and unexplored environment are considered and Genetic algorithm is used.
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