Abstract
One of the issue in using of mobile antenna is determining of mobile antenna station in order to proper service. Difference ray of mobile antenna station and their placement and geographical qualification are the factors that caused the problem of mobile antenna antennas be np_hard optimization problem. In this paper in order to finding proper answers for this problem, the combination of genetic algorithm and learning automata are used. Our purpose is that the specified area be covered and the overlapping of mobile antenna station be minimum. In this paper proposed master-slave automata. One of the automata play master automata role and others plays slave automata roles. In last work, actual environment, descent of frequency dosn't considered. In the end of paper, proposed algorithm compared with other famous algorithms. Results shows that proposed algorithm is better than others from product result and cost effective aspect.