Abstract
Variants of the well-known Hamiltonian Cycle and Travelling Salesperson problems have been studied for decades. Existing formulations assume either a static graph or a temporal graph in which edges are available based on some function of time. In this paper, we introduce a new variant of these problems inspired by applications such as open-pit mining, harvesting and painting, in which some edges become deleted or untraversable depending on the vertices that are visited. We formally define these problems and provide both a theoretical and experimental analysis of them in comparison with the conventional versions. We also propose two solvers, based on an exact backward search and a meta-heuristic solver, and provide an extensive experimental evaluation.
Original language | English |
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Article number | 102156 |
Journal | Journal of Computational Science |
Volume | 74 |
Early online date | 17 Oct 2023 |
DOIs | |
Publication status | Published - 1 Dec 2023 |
Bibliographical note
AcknowledgementsThe research was supported by Czech Science Foundation Grant No. 23-05104S. The work of David Woller has also been supported by the Grant Agency of the Czech Technical University in Prague, grant No. SGS23/122/OHK3/2T/13. Computational resources were provided by the e-INFRA CZ project (ID:90140), supported by the Ministry of Education, Youth and Sports of the Czech Republic. Masoumeh Mansouri is a UK participant in Horizon Europe Project CONVINCE, and her work is supported by UKRI grant number 10042096.
Keywords
- Travelling Salesperson problem
- Coverage planning
- Metaheuristics
- Combinatorial optimization