TY - JOUR
T1 - Multiple sink location problem in path networks with a combinational objective
AU - Luo, Taibo
AU - Li, Hongmei
AU - Ru, Shaofeng
AU - Tong, Weitian
AU - Xu, Yinfeng
N1 - Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/3
Y1 - 2021/3
N2 - In this paper, we consider the k-sink location problem in a path network with the goal of optimizing a combinational function of the maximum completion time and the total completion time. Let P= (V, E) be an undirected path network with n vertices. Each vertex has a positive weight, indicating the initial amount of supplies, and each edge has a positive length and a uniform capacity, which is the maximum amount of supplies that can enter the edge per unit time. Our goal is to identify k sink locations on the path P so that all supplies will be successfully evacuated and the given objective function is optimized. This paper presents two efficient polynomial time algorithms, which achieve O(n) for k= 1 and O(n6) for general k, respectively.
AB - In this paper, we consider the k-sink location problem in a path network with the goal of optimizing a combinational function of the maximum completion time and the total completion time. Let P= (V, E) be an undirected path network with n vertices. Each vertex has a positive weight, indicating the initial amount of supplies, and each edge has a positive length and a uniform capacity, which is the maximum amount of supplies that can enter the edge per unit time. Our goal is to identify k sink locations on the path P so that all supplies will be successfully evacuated and the given objective function is optimized. This paper presents two efficient polynomial time algorithms, which achieve O(n) for k= 1 and O(n6) for general k, respectively.
KW - Combinational objective
KW - Path network
KW - Polynomial time algorithm
KW - Sink location
UR - http://www.scopus.com/inward/record.url?scp=85085548964&partnerID=8YFLogxK
U2 - 10.1007/s11590-020-01597-w
DO - 10.1007/s11590-020-01597-w
M3 - Article
AN - SCOPUS:85085548964
SN - 1862-4472
VL - 15
SP - 733
EP - 755
JO - Optimization Letters
JF - Optimization Letters
IS - 2
ER -