Novel scheduling algorithm based on dynamic particle swarm optimization
Jinguang Liu · Jisuanji yingyong yanjiu · 2011
This paper proposed a novel grid task scheduling solution based on dynamic particle swarm optimization algorithm.Expounded the mathematical model of grid task scheduling problem,gave the framework of dynamic particle swarm optimization algorithm,introduced the adaptive learning factors and the adaptive mutation strategy to make proposed algorithm easily jump out of local optimum with effective dynamic adaptability.Experimental result shows that the proposed algorithm can solve the scheduling problem of heterogeneous grid meta-task,and has the advantage of good application value.