节点文献
狭义TSP几何解的演化逻辑与算法
Evolution Logic and Algorithm for Narrow TSP Geometric Solution
【摘要】 在文献[1]的基础上定义了狭义TSP。提出了6类边权亏损,指出了几何解的演化逻辑决定数值解的收敛性。新算法的时间复杂性为O(n3),算例表明,解的质量一般不大于1.05倍TSPLIB公布的最优解。
【Abstract】 A defination is given based on the reference[1].The six categories boundaries weight loss are first proposed. It is pointed out that theevolution logic of the geometric solution determines the convergence of the digital solution. The time complexity of the new algorithom is O(n3).The computation example demonstrates that the quality of the solution is generally not bigger than the 1.05 times of the optimal solution publiced byTSPLIB.
【关键词】 狭义TSP;
几何解演化逻辑;
边权亏损;
【Key words】 Narrow sense TSP; Logic geometric solution evolution; Boundary weight loss;
【Key words】 Narrow sense TSP; Logic geometric solution evolution; Boundary weight loss;
【基金】 国家自然科学基金资助项目(69732010);国航天津分公司重点科研基金资助项目
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2005年14期
- 【分类号】TP301.6
- 【被引频次】8
- 【下载频次】75