A new integer programming formulation of the graphical traveling salesman problem
成果类型:
Article
署名作者:
Carr, Robert; Ravi, R.; Simonetti, Neil
署名单位:
University of New Mexico; Carnegie Mellon University
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-022-01849-w
发表日期:
2023
页码:
877-902
关键词:
shortest complete cycle
摘要:
In the Traveling Salesman Problem (TSP), a salesman wants to visit a set of cities and return home. There is a cost c(ij) of traveling from city i to city j, which is the same in either direction for the Symmetric TSP. The objective is to visit each city exactly once, minimizing total travel costs. In the Graphical TSP, a city may be visited more than once, which may be necessary on a sparse graph. We present a new integer programming formulation for the Graphical TSP requiring only two classes of polynomial-sized constraints while addressing an open question proposed by Denis Naddef. We generalize one of these classes, and present promising preliminary computational results.
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