Research on Improved Hybrid Particle Swarm Optimization Algorithm for Cloud Computing Task Scheduling

摘要

In the cloud computing environment, one of the hot spot of researches in cloud computing is how to accomplish the service request in numerous running tasks. This paper puts forward an improved hybrid particle swarm optimization, firstly using particle swarm algorithm as the main level algorithm, the initial solution rapidly, followed by the max min ant colony algorithm, as the algorithm to find the optimal solution based on the initial solution. Finally, the availability and advantage of the proposed algorithm can be tested through the simulation experiment.