The vehicle routing problem with time windows (VRPTW) has been the subject of intensive study because of its importance in real applications. In this paper, we propose a cross entropy multiagent learning algorithm, which considers an optimum solution as a rare event to be learned. The routing...

Increasing concerns about environmental and social impacts have made multicriteria analysis (MCA) increasingly popular in decision making processes. The present paper proposes a new methodology which allows taking into account multicriteria aspects, stakeholder's preferences and long time...

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