The vehicle routing problem
Model and algorithm of an inventory problem with the consideration of transportation cost
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
Design and Analysis of Experiments
Design and Analysis of Experiments
A Decomposition Approach for the Inventory-Routing Problem
Transportation Science
Design of a retail chain stocking up policy with a hybrid evolutionary algorithm
EvoCOP'06 Proceedings of the 6th European conference on Evolutionary Computation in Combinatorial Optimization
Statistical analysis of the main parameters involved in the designof a genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Statistical analysis of the parameters of a neuro-genetic algorithm
IEEE Transactions on Neural Networks
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EVITA, standing for Evolutionary Inventory and TransportationAlgorithm, aims to be a commercial tool to addressthe problem of minimising both the transport and inventorycosts of a retail chain that is supplied from a centralwarehouse. In this paper we study different issues involvedin finding the appropriate settings for EVITA, so that itcan be employed by a non-expert user over wide range ofproblems.The aim is not to define a new algorithm for resolutionof the ITP, but to determine whether it is possible to finda set of input parameters that can provide good results ona wide range of problem configurations, hence eliminatingthe need for user adjustment once the tool is employed in acommercial setting.We focus on the influence of three parameters: the populationsize, the tournament size and the mutation probability.After extensive experimentation and statistical analysis weare able to find a good configuration for the three factors.