Information Sciences: an International Journal
Information Sciences: an International Journal
A polylogarithmic approximation algorithm for the group Steiner tree problem
Journal of Algorithms
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
Genetic Algorithms in Engineering and Computer Science
Genetic Algorithms in Engineering and Computer Science
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
A survey of very large-scale neighborhood search techniques
Discrete Applied Mathematics
Some issues of designing genetic algorithms for traveling salesman problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Particle swarm optimization-based algorithms for TSP and generalized TSP
Information Processing Letters
Ant colony optimization for the traveling purchaser problem
Computers and Operations Research
Transformations of generalized ATSP into ATSP
Operations Research Letters
A new approach for solving the generalized traveling salesman problem
HM'10 Proceedings of the 7th international conference on Hybrid metaheuristics
A hybrid heuristic approach for solving the generalized traveling salesman problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A novel approach for automated music composition using memetic algorithms
Proceedings of the 49th Annual Southeast Regional Conference
The effect of the asymmetry of road transportation networks on the traveling salesman problem
Computers and Operations Research
Computers & Mathematics with Applications
DOE-based parameter tuning for local branching algorithm
International Journal of Metaheuristics
International Journal of Applied Metaheuristic Computing
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The Generalized Traveling Salesman Problem (GTSP) is a generalization of the well-known Traveling Salesman Problem (TSP), in which the set of cities 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. 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 54 standard test problems with up to 217 clusters and 1084 cities. Results demonstrate the efficiency of our algorithm in both solution quality and computation time.