NDLI: Solving the Capacitated Vehicle Routing Problem with maximum traveling distance and service time requirements: An approach based on Monte Carlo simulation

Content Provider	IEEE Xplore Digital Library
Author	Juan, A.A. Adelantado, F. Faulin, J. Grasman, S.E. Montoya-Torres, J.R.
Copyright Year	2009
Description	Author affiliation: Dep. of Statistics and Operations Research Public University of Navarre, Pamplona, 31006, Spain (Grasman, S.E.) \|\| Dep. of Engineering Management Missouri University of Science and Technology Rolla, MO 65409-0370, USA (Faulin, J.) \|\| School of Economics and Management Sciences, Universidad de La Sabana, Chia (Cundinamarca), Colombia (Montoya-Torres, J.R.) \|\| Dep. of Computer Science and Telecommunication, Open University of Catalonia, Barcelona, 08018, Spain (Juan, A.A.; Adelantado, F.)
Abstract	This paper presents an approach based on Monte Carlo Simulation (MCS) to solve the Capacitated Vehicle Routing Problem (CVRP) with maximum traveling distance per route and additional costs per service, which introduces additional challenges to the classical CVRP. The basic idea behind our approach is to combine direct MCS with an efficient heuristics -e.g. the Clarke and Wright Savings (CWS) algorithm- and a divide-and-conquer technique. The CWS heuristics provides a constructive methodology which is improved in two ways: (i) a special random behavior is introduced in the methodology -in this case, a geometric distribution is used for this purpose; and (ii) a divide-and-conquer technique is used to decompose the original problem in smaller sub-problems that are easy to deal with. Our approach is then validated using a set of well-known benchmarks. Finally, the paper discusses some advantages and disadvantages of our approach with respect other existing approaches.
Starting Page	2467
Ending Page	2475
File Size	832718
Page Count	9
File Format	PDF
ISBN	9781424457700
e-ISBN	9781424457717
DOI	10.1109/WSC.2009.5429663
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Costs Routing Optimization methods Stochastic processes Genetic algorithms Computational modeling Computer science Research and development management Statistics
Content Type	Text
Resource Type	Article

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