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蚁群算法中系统初始化及系统参数的研究
The Research on Initialization of Ants System and Configuration of Parameters for Different TSP Problems in Ant Algorithm
【摘要】 蚁群算法作为近年来一种新的模拟进化算法具有较强的发现解的能力,但同时也有收敛慢、耗费时间的缺点.本文针对各种不同规模的TSP问题,通过实验对各参数的设置做了研究,并对蚂蚁初始化提出了新的算法,并进行了实验验证.
【Abstract】 As a novel simulated evolutionary algorithm which was proposed in recent years,ant colony optimization(ACO) algorithm has great capability in searching better solutions,but ACO also has the shortcoming of slow converging.For different dimensions of TSP problems,the paper studies the settings of parameters with experiments,and proposes a new method of the initialization of ants system.Experimental results indicate that the enhancement is practical.
【关键词】 蚁群算法;
蚂蚁系统的初始化;
参数设置;
旅行商问题;
【Key words】 ant algorithm; the initialization of ants system; optimum configurations; Traveling Salesman Problem(TSP);
【Key words】 ant algorithm; the initialization of ants system; optimum configurations; Traveling Salesman Problem(TSP);
- 【文献出处】 电子学报 ,Acta Electronica Sinica , 编辑部邮箱 ,2006年08期
- 【分类号】TP301.6
- 【被引频次】110
- 【下载频次】748