Genetic Algorithms for Vehicle Routing Problem with Recourse Cost Model

Jun-qi Chen () and Tomohiro Murata ()
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Jun-qi Chen: University of Waseda
Tomohiro Murata: University of Waseda

Chapter Chapter 96 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 903-916 from Springer

Abstract: Abstract This paper deals with the vehicle routing problem involved with System fuzzy vehicle travel times. A two-stage possibility programming model is formulated and the influence of the fuzziness of travel times and service times is treated as recourse cost. By introducing the generalized mean value to define the Fuzzy Mean, the recourse possibility programming model can be transformed into an ordinary programming problem (Slowinski and Hapke in Scheduling under fuzziness. Physics, Heidelberg, 2000) and then a solution method based on Genetic Algorithms is proposed to give the optimal solution of the problem. Finally, some examples are given to illustrate the two-stage model and the solution algorithm.

Keywords: Genetic algorithms; Possibility programming; Recourse cost; Vehicle routing (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-3-642-38442-4_96

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