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基于分区的改进的遗传算法求解TSP问题
Improved genetic algorithm based on clustering to solve TSP
【摘要】 针对解决大规模TSP问题的求解效果在时间以及路径寻优上所存在的问题,提出一种基于分区的改进的遗传算法,并对PR144城市的TSP问题进行求解,所得最优路径结果比TSPLIB公布的已知最好解更短,实验结果显示出了本文算法求解大规模TSP问题时能求解出最优解,时间性能也很好。
【Abstract】 Aiming at the problem of time-cost and path-search when solving the large scale TSP (Traveling Salesman Problem), an improved genetic algorithm based on clustering technique is proposed to solve the PR144 cites for TSE As indicated by experi- mental results,the final path distance of the PRI44 cites for TSP is shorter than the TSPLIB known.Furthermore,the final path distance and the time cost is shorter
【关键词】 遗传算法;
模拟退火算法;
TSP;
【Key words】 genetic algorithm; simulated annealing algorithm; traveling salesman problem (TSP);
【Key words】 genetic algorithm; simulated annealing algorithm; traveling salesman problem (TSP);
【基金】 河北省自然科学基金(No.A2006000190)
- 【文献出处】 燕山大学学报 ,Journal of Yanshan University , 编辑部邮箱 ,2007年04期
- 【分类号】TP18
- 【被引频次】5
- 【下载频次】220