Polynomial time approximation schemes for Euclidean traveling salesman and other geometric problems
Journal of the ACM (JACM)
An overview of vehicle routing problems
The vehicle routing problem
Solution of a Min-Max Vehicle Routing Problem
INFORMS Journal on Computing
Solving real-world ATSP instances by branch-and-cut
Combinatorial optimization - Eureka, you shrink!
Parallel Metaheuristics: A New Class of Algorithms
Parallel Metaheuristics: A New Class of Algorithms
A review of metrics on permutations for search landscape analysis
Computers and Operations Research
The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)
The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)
Computers and Operations Research
An O(log n/ log log n)-approximation algorithm for the asymmetric traveling salesman problem
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Lower tolerance-based Branch and Bound algorithms for the ATSP
Computers and Operations Research
Tolerance based contract-or-patch heuristic for the asymmetric TSP
CAAN'06 Proceedings of the Third international conference on Combinatorial and Algorithmic Aspects of Networking
Transforming asymmetric into symmetric traveling salesman problems
Operations Research Letters
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The routing of vehicles on road transportation networks is an area of great importance to transportation planners within scientific literature. This field includes well known and studied problems like traveling salesman problems or TSP or the more realistic asymmetric variant or ATSP, whose applications extend to other areas of transport and operations research. This work studies the effect that the asymmetry of road transportation networks, geographical location and territory have over TSP and ATSP methods. We conduct comprehensive experiments in order to assess the effects that these factors have on some of the best known algorithms for the TSP/ATSP. We demonstrate that all these factors have a significant influence in solution time and quality. Furthermore, we show that the solutions obtained with Euclidean matrices and those obtained with real distance matrices differ significantly.