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A Decentralized Heuristic for Multiple-Choice Combinatorial Optimization Problems

In: Operations Research Proceedings 2012

Author

Listed:
  • Christian Hinrichs

    (University of Oldenburg)

  • Sebastian Lehnhoff

    (Institute for Information Technology)

  • Michael Sonnenschein

    (University of Oldenburg)

Abstract

We present a decentralized heuristic applicable to multi-agent systems (MAS), which is able to solve multiple-choice combinatorial optimization problems (MC-COP). First, the MC-COP problem class is introduced and subsequently a mapping to MAS is shown, in which each class of elements in MC-COP corresponds to a single agent in MAS. The proposed heuristic “COHDA” is described in detail, including evaluation results from the domain of decentralized energy management systems.

Suggested Citation

  • Christian Hinrichs & Sebastian Lehnhoff & Michael Sonnenschein, 2014. "A Decentralized Heuristic for Multiple-Choice Combinatorial Optimization Problems," Operations Research Proceedings, in: Stefan Helber & Michael Breitner & Daniel Rösch & Cornelia Schön & Johann-Matthias Graf von der Schu (ed.), Operations Research Proceedings 2012, edition 127, pages 297-302, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-00795-3_43
    DOI: 10.1007/978-3-319-00795-3_43
    as

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