Title :
ACO for solving a multimodal transport problems using a transfer graph model
Author :
Hedi, Ayed ; Habbas, Zineb ; Khadraoui, Djamel
Author_Institution :
Univ. Paul Verlaine-Metz, Metz, France
Abstract :
This paper proposes an algorithm based on a transfer graph model to compute a multimodal shortest path (MSP) between a given source node s and a destination node d. The first step of this algorithm consists of computing a database saving a large part of necessary data to provide a response to a user itinerary request. Whe show in this paper that using ant colony optimization metaheuristic (ACO) to compute this database, reduces considerably the memory space complexity comparing to the Dijskstra algorithm.
Keywords :
goods distribution; graph theory; optimisation; transportation; Dijskstra algorithm; ant colony optimization metaheuristic; memory space complexity; multimodal shortest path; multimodal transport problem; transfer graph model; Ant colony optimization; Bicycles; Computer networks; Databases; Legged locomotion; Management information systems; Marine vehicles; Motorcycles; Rail transportation; Shortest path problem; ACO; Dijkstra algorithm; Multimodal transport; Shortest Path Problem; Time dependent network problem; transfer graph;
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
DOI :
10.1109/ICCIE.2009.5223969