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arXiv:2606.18157 · v4

Reducing Prize-Collecting Stroll and Related Routing Problems to Prize-Collecting TSP

首次提交 2026-06-17 00:56
版本更新 2026-11-08 20:59
雷达观测 2026-11-10 12:16
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摘要

We consider prize-collecting variants of the metric traveling salesperson problem (TSP). The prize-collecting stroll problem (PCS) is the path version of the prize-collecting TSP (PCTSP). Given a complete metric graph, two distinct prescribed terminal vertices s,ts,t, and nonnegative penalties on vertices, PCS asks for an ss-tt tour minimizing its length plus the total penalty of vertices that are not visited by it. We study a common generalization of PCTSP, PCS, and several related prize-collecting routing problems, which we call the prize-collecting ΦΦ-TSP. In this model, an interface ΦΦ specifies a set of prescribed vertices together with their parity and connectivity requirements. We show that, if a polynomial-time ρρ-approximation algorithm for PCTSP is available, then, for every fixed ε>0\varepsilon>0, there is a polynomial-time (ρ+ε)(ρ+\varepsilon)-approximation algorithm for the prize-collecting ΦΦ-TSP when the number of prescribed vertices is bounded by a fixed constant. Consequently, PCS can be approximated as well as PCTSP up to an arbitrarily small additive loss, closing the gap between the best-known approximation guarantees for the two problems.

作者备注:26 pages, 5 figures

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v4 · 2026-11-08 20:59 · 最新观测版本

Reducing Prize-Collecting Stroll and Related Routing Problems to Prize-Collecting TSP

We consider prize-collecting variants of the metric traveling salesperson problem (TSP). The prize-collecting stroll problem (PCS) is the path version of the prize-collecting TSP (PCTSP). Given a complete metric graph, two distinct prescribed terminal vertices s,ts,t, and nonnegative penalties on vertices, PCS asks for an ss-tt tour minimizing its length plus the total penalty of vertices that are not visited by it. We study a common generalization of PCTSP, PCS, and several related prize-collecting routing problems, which we call the prize-collecting ΦΦ-TSP. In this model, an interface ΦΦ specifies a set of prescribed vertices together with their parity and connectivity requirements. We show that, if a polynomial-time ρρ-approximation algorithm for PCTSP is available, then, for every fixed ε>0\varepsilon>0, there is a polynomial-time (ρ+ε)(ρ+\varepsilon)-approximation algorithm for the prize-collecting ΦΦ-TSP when the number of prescribed vertices is bounded by a fixed constant. Consequently, PCS can be approximated as well as PCTSP up to an arbitrarily small additive loss, closing the gap between the best-known approximation guarantees for the two problems.

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