2011
DOI: 10.1016/j.neucom.2010.08.026
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An application of the self-organizing map in the non-Euclidean Traveling Salesman Problem

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Cited by 32 publications
(19 citation statements)
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“…In MSDGAS, some experiment parameters are optimized based on the work in [49,50]. e user requests in the experiment are simulated data generated by a developed computer program.…”
Section: Discussion Of Experiments Parametersmentioning
confidence: 99%
“…In MSDGAS, some experiment parameters are optimized based on the work in [49,50]. e user requests in the experiment are simulated data generated by a developed computer program.…”
Section: Discussion Of Experiments Parametersmentioning
confidence: 99%
“…Hereafter, we call our new system as Parallelized Memetic Self-Organizing Map (PMSOM). For the sake of simplicity, we will apply our algorithm over Euclidean TSP samples but some researchers have demonstrated that SOM is applicable on non-Euclidean TSP as well [34].…”
Section: Current Workmentioning
confidence: 99%
“…A simple approximation of the shortest path based on a convex partition of the polygonal domain W has been used in [18]. The approximation is based on a refinement of a primary path found in a convex partition of W. A convex partition P is a set of convex cells C i , P = {C 1 , C 2 , .…”
Section: Approximation Of the Shortest Path In The Polygonal Domainmentioning
confidence: 99%
“…In [18], a simple, yet sufficient approximation of the shortest path in W has been used in SOM adaptation rules to decrease the computational burden. Although this approximation enables the application of SOM principles in W, the required computational time of self-organization is still significantly higher (hundreds of times) than for the Euclidean-TSP.…”
Section: Introductionmentioning
confidence: 99%