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A branch‐and‐cut algorithm for the undirected selective traveling salesman problem
Author(s) -
Gendreau Michel,
Laporte Gilbert,
Semet Frédéric
Publication year - 1998
Publication title -
networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.977
H-Index - 64
eISSN - 1097-0037
pISSN - 0028-3045
DOI - 10.1002/(sici)1097-0037(199812)32:4<263::aid-net3>3.0.co;2-q
Subject(s) - travelling salesman problem , undirected graph , combinatorics , mathematics , algorithm , graph , constant (computer programming) , computer science , programming language
The Selective Traveling Salesman Problem (STSP) is defined on a graph in which profits are associated with vertices and costs are associated with edges. Some vertices are compulsory. The aim is to construct a tour of maximal profit including all compulsory vertices and whose cost does not exceed a preset constant. We developed several classes of valid inequalities for the symmetric STSP and used them in a branch‐and‐cut algorithm. Depending on problem parameters, the proposed algorithm can solve instances involving up to 300 vertices. © 1998 John Wiley & Sons, Inc. Networks 32:263–273, 1998
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