A memetic algorithm with a large neighborhood crossover operator for the generalized traveling salesman problem

Boris Bontoux 1 Christian Artigues 2 Dominique Feillet 3
1 LIA - Laboratoire Informatique d'Avignon
2 LAAS-MOGISA
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
3 SFL-ENSMSE - Département Sciences de la Fabrication et Logistique
Abstract : The Generalized Traveling Salesman Problem (GTSP) is a generalization of the well-known Traveling Salesman Problem (TSP), in which the set of nodes is divided into mutually exclusive clusters. The objective of the GTSP consists in visiting each cluster exactly once in a tour, while minimizing the sum of the routing costs. This paper addresses the solution of the GTSP using a Memetic Algorithm procedure. The originality of our approach rests on the crossover procedure that uses a large neighborhood search. This algorithm is compared with other algorithms on a set of 41 standard test problems with up to 442 nodes. The obtained results show that our algorithm is efficient in both solution quality and computation time.
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SFL-ENSMSE | CMP-ENSMSE | EMSE | LAAS-ROC | LAAS | INSTITUT-TELECOM | UNIV-TLSE3 | INSA-TOULOUSE | INSA-GROUPE | UNIV-AVIGNON

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Boris Bontoux, Christian Artigues, Dominique Feillet. A memetic algorithm with a large neighborhood crossover operator for the generalized traveling salesman problem. Computers and Operations Research, Elsevier, 2010, 37 (11), pp.1844-1852. ⟨10.1016/j.cor.2009.05.004⟩. ⟨hal-00238472v2⟩

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