PSO based single strategy risk programming problem for virtual enterprise

Min Huang, Xuejing Wu, Xingwei Wang, Wai-Hung Ip, Kai-Leung Yung

Abstract: Virtual enterprise will be the main organization mode for enterprises in information society of twenty-one century. Focus on the fuzzy characteristics and project organization mode of virtual enterprises, the risk programming methods for virtual enterprise are studied in this paper. As we all known, the classical particle swarm optimization (PSO) is a powerful method for finding the optimum of a numerical function on a continuous definition space, however, the study in discrete space is seldom. The single strategy risk programming problem for virtual enterprise is solved by PSO in this paper and the global risk level of the virtual enterprise estimated by fuzzy synthetic evaluation method. Simulation result suggests that the method is simple and effective.