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Combination of mobile agentand evolutionary algorithm to optimizethe client transport services

Published online by Cambridge University Press:  21 February 2008

Hayfa Zgaya ,
Slim Hammadi  and
Khaled Ghédira
Hayfa Zgaya
Affiliation:
LAGIS UMR 8146 École Centrale de Lille, France; hayfa.zgaya@ec-lille.fr; slim.hammadi@ec-lille.fr
Slim Hammadi
Affiliation:
LAGIS UMR 8146 École Centrale de Lille, France; hayfa.zgaya@ec-lille.fr; slim.hammadi@ec-lille.fr
Khaled Ghédira
Affiliation:
SOIE, ISG-Tunis ISG, Tunis University, Tunisia; khaled.ghedira@isg.rnu.tn
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Abstract

This paper presents a migration strategy for a set of mobile agents (MAs) in order to satisfy customers' requests in a transport network, through a multimodal information system. In this context, we propose an optimization solution which operates on two levels. The first one aims to constitute a set of MAs building their routes, called Workplans. At this level, Workplans must incorporate all nodes, representing information providers in the multimodal network, in order to explore it completely. Thanks to an evolutionary approach, the second level must optimize nodes selection in order to increase the number of satisfied users. The assignment of network nodes to the required services must be followed by a Workplan update procedure in order to deduce final routes paths. Finally, simulation results are mentioned to invoke the different steps of our adopted approach.

Keywords

Mobile agentsevolutionary algorithmsmultimodal information systemmultimodal transport network

Information

Type
Research Article
Information
RAIRO - Operations Research , Volume 42 , Issue 1: Cooperative methods for multiobjective optimization , January 2008 , pp. 35 - 67
Copyright
© EDP Sciences, ROADEF, SMAI, 2008

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