A reliability-aware randomized simheuristic for the stochastic team orienteering problem

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1. Verfasser: Circelli, Michele
Format: Preprint
Veröffentlicht: 2026
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author Circelli, Michele
author_facet Circelli, Michele
contents We study a stochastic variant of the Team Orienteering Problem with lognormal travel times and an all-or-nothing reward policy, under which the reward of a route is lost if its travel time exceeds the available budget. We propose a reliability-aware simheuristic that combines a savings-based constructive heuristic with three specific design elements: a Top-$L_{\mathrm{top}}$ randomization mechanism, stochastic screening of the savings parameter, and an explicit reliability threshold for solution selection. Computational experiments on the Chao et al. benchmark show that the method is competitive with the VNS-based simheuristic of Panadero et al. (2020) on a non-trivial subset of instances using a significantly simpler architecture, with the largest gains on two-vehicle sub-families with long routes where the reliability-aware selection compensates for the absence of VNS-style exploration. On larger multi-vehicle instances the simpler architecture is outperformed, and this trade-off is discussed explicitly.
format Preprint
id arxiv_https___arxiv_org_abs_2603_20766
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A reliability-aware randomized simheuristic for the stochastic team orienteering problem
Circelli, Michele
Optimization and Control
90B06, 90C15, 90C27
G.1.6; G.2.2
We study a stochastic variant of the Team Orienteering Problem with lognormal travel times and an all-or-nothing reward policy, under which the reward of a route is lost if its travel time exceeds the available budget. We propose a reliability-aware simheuristic that combines a savings-based constructive heuristic with three specific design elements: a Top-$L_{\mathrm{top}}$ randomization mechanism, stochastic screening of the savings parameter, and an explicit reliability threshold for solution selection. Computational experiments on the Chao et al. benchmark show that the method is competitive with the VNS-based simheuristic of Panadero et al. (2020) on a non-trivial subset of instances using a significantly simpler architecture, with the largest gains on two-vehicle sub-families with long routes where the reliability-aware selection compensates for the absence of VNS-style exploration. On larger multi-vehicle instances the simpler architecture is outperformed, and this trade-off is discussed explicitly.
title A reliability-aware randomized simheuristic for the stochastic team orienteering problem
topic Optimization and Control
90B06, 90C15, 90C27
G.1.6; G.2.2
url https://arxiv.org/abs/2603.20766