An Effective Evolutionary Algorithm for the Cumulative Capacitated Vehicle Routing Problem

Sandra Ulrich Ngueveu (1) , Christian Prins (1) , Roberto Wolfler Calvo (2)

1 LOSI - Laboratoire d'Optimisation des Systèmes Industriels
2 LIPN - Laboratoire d'Informatique de Paris-Nord

The Cumulative Capacitated Vehicle Routing Problem (or CCVRP) models transportation problems where the objective is to minimize the sum of arrival times at customers, taking into account capacity limitations. It generalizes the traveling repairman problem (or TRP), by adding capacity constraints and an homogeneous vehicle fleet. This paper presents the first metaheuristic designed for the CCVRP, taking into account specific properties to improve its speed and efficiency. The algorithm obtained also becomes the best metaheuristic for the TRP.

Domains: Operations Research [cs.RO]

Sandra Ulrich Ngueveu, Christian Prins, Roberto Wolfler Calvo. An Effective Evolutionary Algorithm for the Cumulative Capacitated Vehicle Routing Problem. EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Apr 2009, Tübingen, Germany. pp.778-787, ⟨10.1007/978-3-642-01129-0_88⟩. ⟨hal-02895059⟩