Revisiting k-sum optimization
成果类型:
Article
署名作者:
Puerto, J.; Rodriguez-Chia, A. M.; Tamir, A.
署名单位:
University of Sevilla; Universidad de Cadiz; Tel Aviv University
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-016-1096-1
发表日期:
2017
页码:
579-604
关键词:
lexicographic bottleneck problems
ordered median problems
tree-shaped facilities
location-problems
discrete optimization
knapsack-problem
algorithms
networks
graph
centers
摘要:
In this paper, we address continuous, integer and combinatorial k-sum optimization problems. We analyze different formulations of this problem that allow to solve it through the minimization of a relatively small number of minisum optimization problems. This approach provides a general tool for solving a variety of k-sum optimization problems and at the same time, improves the complexity bounds of many ad-hoc algorithms previously reported in the literature for particular versions of this problem. Moreover, the results developed for k-sum optimization have been extended to the more general case of the convex ordered median problem, improving upon existing solution approaches.