Title :

Genetic Algorithm for Mulicriteria Optimization of a Multi-Pickup and Delivery Problem with Time Windows

Author(s) :

Harbaoui Dridi, Imen [Auteur]
Laboratoire d’Analyse, Conception et Commande des Systèmes [Tunis] [LR-ACS-ENIT]
Kammarti, Ryan [Auteur]
Laboratoire d’Analyse, Conception et Commande des Systèmes [Tunis] [LR-ACS-ENIT]
Ksouri, Mekki [Auteur]
Laboratoire d’Analyse, Conception et Commande des Systèmes [Tunis] [LR-ACS-ENIT]
Borne, Pierre [Auteur]
LAGIS-OSL

Conference title :

INCOM'09 IFAC

Country :

Russie

Start date of the conference :

2009-06-03

Book title :

INCOM'09 IFAC

Publication date :

2009-06-03

HAL domain(s) :

Informatique [cs]/Algorithme et structure de données [cs.DS]

English abstract : [en]

In This paper we present a genetic algorithm for mulicriteria optimization of a multipickup and delivery problem with time windows (m-PDPTW). The m-PDPTW is an optimization vehicles routing problem which must meet requests ...
Show more >In This paper we present a genetic algorithm for mulicriteria optimization of a multipickup 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 an approach based on genetic algorithms and Pareto dominance method to give a set of satisfying solutions to the m-PDPTW minimizing total travel cost, total tardiness time and the vehicles number.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL