Quantum swarm evolutionary algorithm with time-varying acceleration coefficients for partner selection in virtual enterprise

Abstract

Partner selection is one of the most critical issue in virtual enterprise, which has been extensively researched in recent years. It is difficult to be solved by the traditional optimization methods for partner selection is a combinatorial optimization problem. In this paper, an improved quantum swarm evolutionary algorithm based on time-varying acceleration coefficients (IQSEA_TVAC) is proposed for partner selection optimization problem. The results of simulation experiments show that the improved algorithm is valid and outperforms the conventional quantum evolutionary algorithm.