Grey particle swarm algorithm for multi-objective optimization problems
求解多目标优化问题的灰色粒子群算法

Since the basic particle swarm algorithm cannot solve the problem of high-dimension objective optimization, a Grey Particle Swarm Optimization (GPSO) algorithm for high-dimension objective optimization was proposed. This method can analyze the degree of approach between objective vectors. And the panorama of the solution space can be controlled by this way. The global maximum and individual maximum in the particle swarm algorithm can be selected according to the degree of grey relevancy. Test results show that GPSO is feasible and effective, and it extends the application field of particle swarm algorithm.