The capacitated vehicle routing problem with soft time windows and stochastic travel times

A full multiobjective approach is employed in this paper to deal with a stochastic multiobjective capacitated vehicle routing problem (CVRP). In this version of the problem, the demand is considered to be deterministic, but the travel times are assumed to be stochastic. A soft time window is tied to...

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Main Author: Jorge Oyola, Ph. D.
Format: Article
Language:English
Published: Universidad Pedagógica y Tecnológica de Colombia 2019-01-01
Series:Revista Facultad de Ingeniería
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8782
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author Jorge Oyola, Ph. D.
author_facet Jorge Oyola, Ph. D.
author_sort Jorge Oyola, Ph. D.
collection DOAJ
description A full multiobjective approach is employed in this paper to deal with a stochastic multiobjective capacitated vehicle routing problem (CVRP). In this version of the problem, the demand is considered to be deterministic, but the travel times are assumed to be stochastic. A soft time window is tied to every customer and there is a penalty for starting the service outside the time window. Two objectives are minimized, the total length and the time window penalty. The suggested solution method includes a non-dominated sorting genetic algorithm (NSGA) together with a variable neighborhood search (VNS) heuristic. It was tested on instances from the literature and compared to a previous solution approach. The suggested method is able to find solutions that dominate some of the previously best known stochastic multiobjective CVRP solutions.
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spelling doaj.art-5ff8f660361049e18c5b7a63ada903ed2022-12-21T23:29:59ZengUniversidad Pedagógica y Tecnológica de ColombiaRevista Facultad de Ingeniería0121-11292357-53282019-01-012850193310.19053/01211129.v28.n50.2019.87828782The capacitated vehicle routing problem with soft time windows and stochastic travel timesJorge Oyola, Ph. D.0Universidad de CórdobaA full multiobjective approach is employed in this paper to deal with a stochastic multiobjective capacitated vehicle routing problem (CVRP). In this version of the problem, the demand is considered to be deterministic, but the travel times are assumed to be stochastic. A soft time window is tied to every customer and there is a penalty for starting the service outside the time window. Two objectives are minimized, the total length and the time window penalty. The suggested solution method includes a non-dominated sorting genetic algorithm (NSGA) together with a variable neighborhood search (VNS) heuristic. It was tested on instances from the literature and compared to a previous solution approach. The suggested method is able to find solutions that dominate some of the previously best known stochastic multiobjective CVRP solutions.https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8782genetic algorithmsheuristic algorithmsmultiobjective programmingrandom processesvehicle routing
spellingShingle Jorge Oyola, Ph. D.
The capacitated vehicle routing problem with soft time windows and stochastic travel times
Revista Facultad de Ingeniería
genetic algorithms
heuristic algorithms
multiobjective programming
random processes
vehicle routing
title The capacitated vehicle routing problem with soft time windows and stochastic travel times
title_full The capacitated vehicle routing problem with soft time windows and stochastic travel times
title_fullStr The capacitated vehicle routing problem with soft time windows and stochastic travel times
title_full_unstemmed The capacitated vehicle routing problem with soft time windows and stochastic travel times
title_short The capacitated vehicle routing problem with soft time windows and stochastic travel times
title_sort capacitated vehicle routing problem with soft time windows and stochastic travel times
topic genetic algorithms
heuristic algorithms
multiobjective programming
random processes
vehicle routing
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8782
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AT jorgeoyolaphd capacitatedvehicleroutingproblemwithsofttimewindowsandstochastictraveltimes