Abstract
This paper addresses the problem of optimization in a distributed co-modal transport system. Transport systems are usually geographically distributed in dynamic changing environments. Such a system has to reach various sources in order to produce the necessary co-modal information for assisting the transport users and satisfying their requests. In this context, agent based technology might be very efficient. In this paper, we propose a combination of an evolutionary method and a multi-agent coalition in order to satisfy and optimize transport user itineraries demands in terms of total cost, total travelling time and total greenhouse gas emission. The presented co-modal transport system takes into account all possible means of transport, including carpooling, free use vehicles and public transport.
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Jeribi, K., Mejri, H., Zgaya, H., Hammadi, S. (2012). Combination of an Evolutionary Approach and Multi-agent Coalition in a Co-modal Transport System. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_10
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DOI: https://doi.org/10.1007/978-3-642-28786-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28785-5
Online ISBN: 978-3-642-28786-2
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