Grid Task Schedule Based on Hybrid Ant Colony Algorithm
Gang Liu · Jisuanji gongcheng · 2010
Aiming at problems such as long-time schedule, load imbalance of resources in grid task schedule, this paper proposes a grid task schedule method based on hybrid ant colony algorithm. This method uses tabu search as the local search strategy of ant colony algorithm to expand the solution search space and avoid local optimum. It uses the diversification mechanism to improve the convergence speed and adjust the balance factor to adjust the pheromone update and improve the load balance performance of resources.