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 $s,t$, and nonnegative penalties on vertices, PCS asks for an $s$-$t$ 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 $Φ$-TSP. In this model, an interface $Φ$ specifies a set of prescribed vertices together with their parity and connectivity requirements. We show that, if a polynomial-time $ρ$-approximation algorithm for PCTSP is available, then, for every fixed $\varepsilon>0$, there is a polynomial-time $(ρ+\varepsilon)$-approximation algorithm for the prize-collecting $Φ$-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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