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基于改进型蚁群算法的网格资源分配的研究
Research of Grid Resource Allocation Based on Improved Ant Colony Optimization
【摘要】 通过对基于标准蚁群算法和MMAS蚁群算法的网格资源分配算法的比较和分析,提出了另一种自适应的蚁群算法。通过计算机仿真实验证明,自适应改进型蚁群算法相比于基于标准蚁群算法和MMAS蚁群算法的网格资源分配算法具有更强的搜索全局最优解的能力,同时还具有更好的稳定性和收敛性。
【Abstract】 Through comparing the grid resource allocation algorithm based on standards and MMAS ant colony algorithm,a self-adapting ant colony algorithm was put forward.According the computer simulation experiments,the advantage of the grid resource allo-cation algorithm based on the self-adapting ant colony algorithm was proved.It’s had better search ability of the global optimal solution,and better stability and convergence.
【关键词】 网格;
资源分配;
蚁群算法;
MMAS;
自适应蚁群算法;
【Key words】 grid; resource allocation; ant colony optimization; MMAS(Max-Min ant system); self-adapting ant colony algorithm;
【Key words】 grid; resource allocation; ant colony optimization; MMAS(Max-Min ant system); self-adapting ant colony algorithm;
- 【文献出处】 长江大学学报(自然科学版)农学卷 ,Journal of Yangtze University(Natural Science Edition)Agricultural Science Volume , 编辑部邮箱 ,2009年02期
- 【分类号】TP393.01
- 【下载频次】78