Title
Approximating the multiple-depot multiple-terminal Hamiltonian path problem.
Abstract
In this paper, we study a multiple-terminal extension of the classic Hamiltonian path problem where m salesmen are initially located at different depots and finally stopped at different terminals. To the best of our knowledge, only 2-approximation algorithm is available in the literature. For arbitrary m⩾2, we first present a Christofides-like heuristic with a tight approximation ratio of 2−12m+1. Besides, we also develop a (53+ϵ)-approximation algorithm by divide-and-conquer technique. The (53+ϵ)-approximation algorithm runs in polynomial time for fixed m and ϵ.
Year
DOI
Venue
2019
10.1016/j.disopt.2019.05.002
Discrete Optimization
Keywords
Field
DocType
Hamiltonian path problem,Approximation algorithm,Constrained forest,Matroid
Approximation algorithm,Discrete mathematics,Heuristic,Hamiltonian path problem,Depot,Time complexity,Mathematics
Journal
Volume
ISSN
Citations 
34
1572-5286
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yichen Yang100.34
Zhaohui Liu2364.45