Research Output

Building distribution networks using cooperative agents.

  This chapter examines the use of emergent computing to optimize solutions to logistics problems. The chapter initially explores the use of agents and evolutionary algorithms to optimize postal distribution networks. The structure of the agent community and the means of interaction between agents is based on social interactions previously used to solve these problems. The techniques developed are then adapted for use in a dynamic environment planning the dispatch of goods from a supermarket. These problems are based on real-world data, in terms of geography and constraints. The author hopes that this will inform researchers as to the suitability of emergent computing in real-world scenarios and the abilities of agent based systems to mimic social systems.

  • Type:

    Book Chapter

  • Date:

    30 November 2005

  • Publication Status:

    Published

  • Publisher

    Idea Group Reference

  • DOI:

    10.4018/978-1-59140-984-7.ch037

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

Citation

Urquhart, N. B. (2005). Building distribution networks using cooperative agents. In Rennard, J. (Ed.). Handbook of Research on Nature Inspired Computing for Economics and Management, 465-482. Idea Group Reference. doi:10.4018/978-1-59140-984-7.ch037. ISBN 1-59140-984-5

Authors

Keywords

Distribution networks; emergent computing; logistics; evolutionary algorithms; agent community; real-world; social systems;

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