Multi-objective Evolutionary Method for Dynamic Vehicle Routing and Scheduling Problem with Customers' Satisfaction Level

Seyed Farid Ghannadpour, Mohsen Hooshfar

Abstract

This paper studies the multi-objective dynamic vehicle routing and scheduling problem by using an evolutionary method. In this model, all data and information required to the routing process are not known before planning and they revealed dynamically during the routing process and the execution of the routes. Moreover, the model tries to characterize the customers’ satisfaction and the service level issues by applying the concept of fuzzy time windows. The proposed model is considered as a multi-objective problem where the overall travelling distance, fleet size and waiting time imposed on vehicles are minimized and the customers’ satisfaction or the service level of the supplier to customers is maximized. To solve this multi-objective model, an evolutionary algorithm is developed to obtain the Pareto solutions and its performance is analyzed on various test problems in the literature. The computational experiments on data sets represent the efficiency and effectiveness of the proposed approach.

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Paper Citation


in Harvard Style

Farid Ghannadpour S. and Hooshfar M. (2015). Multi-objective Evolutionary Method for Dynamic Vehicle Routing and Scheduling Problem with Customers' Satisfaction Level . In Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-075-8, pages 91-98. DOI: 10.5220/0005172600910098


in Bibtex Style

@conference{icores15,
author={Seyed Farid Ghannadpour and Mohsen Hooshfar},
title={Multi-objective Evolutionary Method for Dynamic Vehicle Routing and Scheduling Problem with Customers' Satisfaction Level},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2015},
pages={91-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005172600910098},
isbn={978-989-758-075-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Multi-objective Evolutionary Method for Dynamic Vehicle Routing and Scheduling Problem with Customers' Satisfaction Level
SN - 978-989-758-075-8
AU - Farid Ghannadpour S.
AU - Hooshfar M.
PY - 2015
SP - 91
EP - 98
DO - 10.5220/0005172600910098