Friday , September 21 2018

A Genetic Algorithm for the Multi-Pickup and Delivery Problem with Time Windows

Harbaoui DRIDI
LAGIS: Ecole Centrale de Lille
Villeneuve d’Ascq, France
LACS: Ecole Nationale des Ingénieurs de Tunis
Tunis – Belvédère. Tunisie

R. KAMMARTI
LAGIS: Ecole Centrale de Lille
Villeneuve d’Ascq, France
LACS: Ecole Nationale des Ingénieurs de Tunis
Tunis – Belvédère. Tunisie

M. KSOURI
LACS: Ecole Nationale des Ingénieurs de Tunis
Tunis – Belvédère. Tunisie

Pierre BORNE
LAGIS: Ecole Centrale de Lille
Villeneuve d’Ascq, France

Abstract: In this paper we present a genetic algorithm for the multi-pickup and delivery problem with time windows (m-PDPTW). The m-PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints. This paper purposes a brief literature review of the PDPTW, present our approach based on genetic algorithms to minimizing the total travel distance and thereafter the total travel cost, by showing that an encoding represents the parameters of each individual.

Keywords: vehicles routing, pickup and delivery problem, time windows, optimization, genetic algorithm.

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CITE THIS PAPER AS:
Harbaoui DRIDI, R. KAMMARTI, M. KSOURI, Pierre BORNE,  A Genetic Algorithm for the Multi-Pickup and Delivery Problem with Time Windows, Studies in Informatics and Control, ISSN 1220-1766, vol. 18 (2), pp. 173-180, 2009.