Accelerating convergence in minisum location problem with ℓp norms

Computers & Operations Research(2013)

引用 1|浏览0
暂无评分
摘要
This paper presents a procedure for accelerating convergence of the Weiszfeld algorithm in the classical single facility location median problem in which the distances are measured by @?"p-norms. To this end, we combined Steffensen's method, a generic acceleration scheme applied to iterative processes for solving fixed point equations, with the acceleration methods based on the transformation of the Weiszfeld algorithm by a factor which is a function of the parameter p. The convergence of the proposed methodology and the conditions under which it is guaranteed are analyzed. The computational results show that the total number of iterations to meet a given stopping criterion will be reduced with respect to the results obtained in other algorithms proposed in the literature. The running times are either reduced or quite similar with respect to the existing algorithms for which no results of convergence are provided.
更多
查看译文
关键词
computational result,existing algorithm,proposed methodology,acceleration method,minisum location problem,classical single facility location,generic acceleration scheme,Weiszfeld algorithm,p norm,Accelerating convergence,fixed point equation,median problem,parameter p
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要