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求解旅行商问题的整体优先算法
Whole-priority algorithm for traveling salesman problem
【摘要】 针对欧几里德旅行商问题,提出了一种“整体优先”算法。该算法的基本思路是边构造边调整路径,在调整中采用了独创的逆向调整方法,避免算法陷入局部优化陷阱。理论分析和大量实验结果表明,该算法不仅时间复杂度和空间复杂度低,寻优能力也相当强,其综合性能超过目前的一些主流算法。
【Abstract】 To solve Euclid Traveling Salesman Problem(TSP),a new algorithm named wholepriority algorithm was proposed.The basic idea is "adjusting while constructing".During adjustment process,a creative method named reverse adjustment was adopted,to prevent the algorithm from being got in local optimization trap.Theoretical analysis and lots of experimental results indicate that the time complexity and space complexity of the algorithm are low,and its search-optimization ability is quite strong,whose comprehensive performance exceeds that of present major algorithms.
【关键词】 旅行商问题;
整体优先算法;
逆向调整;
全局优化;
【Key words】 Traveling Salesman Problem(TSP); whole-priority algorithm; reverse adjustment; global optimization;
【Key words】 Traveling Salesman Problem(TSP); whole-priority algorithm; reverse adjustment; global optimization;
【基金】 国家自然科学基金资助项目(60673193);湘潭大学科技计划项目(06XZX04);湘潭大学跨学科星火研究项目(0509029)
- 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2007年05期
- 【分类号】TP301.6
- 【被引频次】10
- 【下载频次】378