Research Repository

Lin–Kernighan heuristic adaptations for the generalized traveling salesman problem

Karapetyan, Daniel and Gutin, Gregory (2011) 'Lin–Kernighan heuristic adaptations for the generalized traveling salesman problem.' European Journal of Operational Research, 208 (3). 221 - 232. ISSN 0377-2217

1003.5330v2.pdf - Accepted Version

Download (291kB) | Preview


The Lin-Kernighan heuristic is known to be one of the most successful heuristics for the Traveling Salesman Problem (TSP). It has also proven its efficiency in application to some other problems. In this paper, we discuss possible adaptations of TSP heuristics for the generalized traveling salesman problem (GTSP) and focus on the case of the Lin-Kernighan algorithm. At first, we provide an easy-to-understand description of the original Lin-Kernighan heuristic. Then we propose several adaptations, both trivial and complicated. Finally, we conduct a fair competition between all the variations of the Lin-Kernighan adaptation and some other GTSP heuristics. It appears that our adaptation of the Lin-Kernighan algorithm for the GTSP reproduces the success of the original heuristic. Different variations of our adaptation outperform all other heuristics in a wide range of trade-offs between solution quality and running time, making Lin-Kernighan the state-of-the-art GTSP local search

Item Type: Article
Uncontrolled Keywords: Heuristics, Lin–Kernighan, Generalized traveling salesman problem, Combinatorial optimization
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 24 May 2018 12:19
Last Modified: 24 May 2018 13:15

Actions (login required)

View Item View Item