摘要
在研究人工萤火虫算法的基础上,提出了一种改进型的人工萤火虫算法。该算法通过对荧光素值获取方式的改进、能够有效地防止收敛过快、目标函数值极易陷入局部最优的情况,通过三个函数的仿真测试中,在搜索精度和性能上有了显著的提高。通过Cloudsim仿真平台发现,在云计算模型下,该算法可以有效地减少子任务的处理请求任务的平均完成时间,提高了任务处理的效率,达到了资源的合理分配。
Based on artificial firefly algorithm, this paper proposed an improved artificial firefly algorithm. The algorithm could effectively prevent convergence too fast, and the objective function value was easy to fall into local optimum. By simula- tion comparison test in 3 functions, it significantly improved the search precision and performance. Found on Cloudsim simula- tion platform, in the cloud computing model, the proposed algorithm can effectively reduce the average completion time of pro- cessing the requested tasks of sub-task, thereby improves the efficiency of task processing, so as to achieve a rational allocation of resources.
出处
《计算机应用研究》
CSCD
北大核心
2013年第8期2298-2300,2333,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(51276115)
关键词
人工萤火虫算法
云计算
资源分配
artificial firefly algorithm
cloud computing
resource allocation
