Novel scheduling algorithm based on dynamic particle swarm optimization
基于动态粒子群优化的网格任务调度算法*

A novel grid task scheduling solution based on dynamic particle swarm optimization algorithm was proposed. The mathematical model of grid task scheduling problem was expound, the framework of dynamic particle swarm optimization algorithm was given, the adaptive learning factors and the adaptive mutation strategy were introduced to make proposed algorithm easily jump out of local optimum with effective dynamic adaptability. Experimental result shows that proposed algorithm can solve the scheduling problem of heterogeneous grid meta-task ,and has the advantage of good application value.