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Beam-ACO Distributed Optimization Applied to Supply-Chain Management

  • João Caldeira
  • Ricardo Azevedo
  • Carlos A. Silva
  • João M. C. Sousa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4529)

Abstract

The distributed optimization paradigm based on Ant Colony Optimization (ACO) is a new management technique that uses the pheromone matrix to exchange information between the different subsystems to be optimized in the supply-chain. This paper proposes the use of the hybrid algorithm Beam-ACO, that fuses Beam-Search and ACO, to implement the same management concept. The Beam-ACO algorithm is used here to optimize the supplying, the distributer and the logistic agents of the supply-chain. Further, this paper implements the concept in a software platform that allows the pheromone matrix exchange through the different agents, using the TCP/IP protocol and data base systems. The results show that the distributed optimization paradigm can still be applied on supply chains where the different agents are optimized by different algorithms and that the use of the Beam-ACO in the supplying agent improves the local and the global results of the supply chain.

Keywords

Supply Chain Schedule Problem Logistic System Vehicle Route Problem Software Platform 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • João Caldeira
    • 1
  • Ricardo Azevedo
    • 1
  • Carlos A. Silva
    • 1
  • João M. C. Sousa
    • 1
  1. 1.Center of Intelligent Systems, IDMEC, Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 LisbonPortugal

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