On approximate data reduction for the Rural Postman Problem: Theory and experiments
On approximate data reduction for the Rural Postman Problem: Theory and experiments
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农村邮递员问题的近似数据约简:理论与实验
DOI:
10.1002/net.21985
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发表时间:
2020
期刊:
影响因子:
2.1
通讯作者:
O. Y. Tsidulko
中科院分区:
文献类型:
--
作者:
R. van Bevern;T. Fluschnik;O. Y. Tsidulko
Given an undirected graph with edge weights and a subsetRof its edges, the Rural Postman Problem (RPP) is to find a closed walk of minimum total weight containing all edges ofR. We prove that RPP is WK[1]‐complete parameterized by the number and weightdof edges traversed additionally to the required ones. Thus RPP instances cannot be polynomial‐time compressed to instances of size polynomial indunless the polynomial‐time hierarchy collapses. In contrast, denoting byb≤ 2dthe number of vertices incident to an odd number of edges ofRand byc≤dthe number of connected components formed by the edges inR, we show how to reduce any RPP instanceIto an RPP instanceI′with 2b+O(c/ϵ) vertices inO(n3) time so that anyα‐approximate solution forI′gives anα(1 +ϵ)‐approximate solution forI, for anyα≥ 1 andϵ> 0. That is, we provide a polynomial‐size approximate kernelization scheme (PSAKS). We experimentally evaluate it on wide‐spread benchmark data sets as well as on two real snow plowing instances from Berlin. We also make first steps toward a PSAKS for the parameterc.
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影响因子:
2.1
作者:
R. van Bevern;C. Komusiewicz;und M. Sorge
通讯作者:
und M. Sorge
DOI:
--
发表时间:
2017
期刊:
International Symposium on Mathematical Foundations of Computer Science
影响因子:
--
作者:
E. Eiben;D. Hermelin;M. Ramanujan
通讯作者:
M. Ramanujan
影响因子:
1.1
作者:
G. Reinelt;D. Theis;K. Wenger
通讯作者:
K. Wenger
影响因子:
2.1
作者:
K. Jansen
通讯作者:
K. Jansen
影响因子:
0.5
作者:
René van Bevern;P. Smirnov
通讯作者:
P. Smirnov