2004
DOI: 10.1057/palgrave.jors.2601751
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Models to estimate average route lengths in different geographical environments

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Cited by 12 publications
(9 citation statements)
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“…However, the models have only been tested for rectangular areas and very specific information on the input, the ratio between length and width of the area, has to be known for these tour length approximations limiting their practical use. Hindle and Worthington (2004) used simulation to refine Eq. ( 14) for a 100 x 100 square area by including a term with the natural logarithm of the number of customers.…”
Section: Discussionmentioning
confidence: 99%
“…However, the models have only been tested for rectangular areas and very specific information on the input, the ratio between length and width of the area, has to be known for these tour length approximations limiting their practical use. Hindle and Worthington (2004) used simulation to refine Eq. ( 14) for a 100 x 100 square area by including a term with the natural logarithm of the number of customers.…”
Section: Discussionmentioning
confidence: 99%
“…Percus and Martin derived the TSP instances for the eight n values between 12 and 100; iterations were conducted between five and 12 runs ( 15 ). Unlike other researchers, Hindle and Worthington conducted the iterations with n increments of one ( 25 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is noted that the NN model was difficult to interpret geometrically owing to its characteristic as a so-called black box. Alternative expressions for estimating TSP tour lengths were developed by Hindle and Worthington, as presented in Equation 2 ( 25 ),…”
Section: Literature Reviewmentioning
confidence: 99%
“…The operational research method used has been the (SMOSS) approach Simplified Modelling of Spatial Systems. 79 The essence of this approach is the derivation and application of relatively simple mathematical functions that can be shown to yield reasonably accurate approximations of the travel distances and times that would be obtained from the application of more exact routing algorithms in spatially distributed service situations.…”
Section: Operational Modellingmentioning
confidence: 99%