Due to increased energy consumption in cities and industrial areas, many technical and economic issues arise for designers and beneficiaries of the system. Currently, unfortunately, in choosing the right place for installing arrester, the traditional methods are used and without considering the economic issues and the reliability of the arresters, they are used and this equipment is installed and putted into operation on this basis. In this paper, an intelligent optimization method called the Imperialist Competitive Algorithm (ICA) is proposed to select the appropriate protection plan. Considering the combined economic and technical factors, the location of the lightening arrester is determined in a distribution network with the aim of reducing risk Insulation. The proposed method has been implemented on one of the long feeders of Mazandaran Electricity Distribution Network, which results in identifying the efficiency of the proposed algorithm in comparison with traditional methods in the optimal location of the arrester.