Multinational Corporation Location Plan under Multiple Factors

With globalization, the international standards of the companies have varied a lot. When a company wants to open new international branch companies, a suitable model has to be formulated so that the specific number and the location of each company can be optimally determined. In this paper, we try to contribute to such effort. First, a multi-objective programming is established to be based on main influencing factors such as each city's economic level. Then an adaptive particle swarm optimization model is utilized to locate branch companies. Due to constant renovation of communication mode, a set covering model is built by new influence factors such as submarine cable communication. Finally, using the penalty function ant colony optimization algorithm obtains an approximate optimal solution. The experimental results effectively demonstrate the proposed models' feasibility, power, and usefulness.