首页> 外文会议>2012 11th International Symposium on Distributed Computing and Applications to Business, Engineering amp; Science. >Study on Resources Scheduling Based on ACO Allgorithm and PSO Algorithm in Cloud Computing
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Study on Resources Scheduling Based on ACO Allgorithm and PSO Algorithm in Cloud Computing

机译:云计算中基于ACO算法和PSO算法的资源调度研究

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It improves the algorithm because of the shortcoming that the ACO algorithm is easy to fall into local optimal solution in the cloud computing resource scheduling. The improved algorithm makes particle optimization inosculated into ant colony algorithm, which first finds out several groups of solutions using ACO algorithm according to the updated pheromone, and then gets more effective solutions using PSO algorithm to do crossover operation and mutation operation so as to avoid the algorithm prematurely into the local optimal solution.
机译:由于该算法在云计算资源调度中容易陷入局部最优解的缺点,对算法进行了改进。改进后的算法使粒子优化算法与蚁群算法相结合,蚁群算法首先根据更新后的信息素使用ACO算法找出几组解,然后使用PSO算法获得更有效的解来进行交叉操作和变异操作,从而避免了算子过早地转化为局部最优解。

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