A Convex Hull Cheapest Insertion Heuristic for Precedence Constrained Traveling Salesperson Problems or Sequential Ordering Problems

Fuente: arXiv
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Main Authors: Goutham, Mithun, Stockar, Stephanie
Format: Preprint
Published: 2023
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author Goutham, Mithun
Stockar, Stephanie
author_facet Goutham, Mithun
Stockar, Stephanie
contents The convex hull cheapest insertion heuristic is a well-known method that efficiently generates good solutions to the Traveling Salesperson Problem. However, this heuristic has not been adapted to account for precedence constraints that restrict the order in which locations can be visited. Such constraints result in the precedence constrained traveling salesperson problem or the sequential ordering problem, which are commonly encountered in applications where items have to be picked up before they are delivered. In this paper, we present an adapted version of this heuristic that accounts for precedence constraints in the problem definition. This algorithm is compared with the widely used Nearest Neighbor heuristic on the TSPLIB benchmark data with added precedence constraints. It is seen that the proposed algorithm is particularly well suited to cases where delivery nodes are centrally positioned, with pickup nodes located in the periphery, outperforming the Nearest Neighbor algorithm in 97\% of the examined instances.
format Preprint
id arxiv_https___arxiv_org_abs_2303_05333
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A Convex Hull Cheapest Insertion Heuristic for Precedence Constrained Traveling Salesperson Problems or Sequential Ordering Problems
Goutham, Mithun
Stockar, Stephanie
Robotics
Systems and Control
Optimization and Control
The convex hull cheapest insertion heuristic is a well-known method that efficiently generates good solutions to the Traveling Salesperson Problem. However, this heuristic has not been adapted to account for precedence constraints that restrict the order in which locations can be visited. Such constraints result in the precedence constrained traveling salesperson problem or the sequential ordering problem, which are commonly encountered in applications where items have to be picked up before they are delivered. In this paper, we present an adapted version of this heuristic that accounts for precedence constraints in the problem definition. This algorithm is compared with the widely used Nearest Neighbor heuristic on the TSPLIB benchmark data with added precedence constraints. It is seen that the proposed algorithm is particularly well suited to cases where delivery nodes are centrally positioned, with pickup nodes located in the periphery, outperforming the Nearest Neighbor algorithm in 97\% of the examined instances.
title A Convex Hull Cheapest Insertion Heuristic for Precedence Constrained Traveling Salesperson Problems or Sequential Ordering Problems
topic Robotics
Systems and Control
Optimization and Control
url https://arxiv.org/abs/2303.05333