REGION-BASED HEURISTICS FOR AN ITERATIVE PARTITIONING PROBLEM IN MULTIAGENT SYSTEMS

Thomas Kemmerich, Hans Kleine Büning

Abstract

Load balancing or access point selection in wireless networks both are problems where a large set of particles repeatedly has to be partitioned on another set of objects. In general this partitioning problem involves multiple contrary objectives. Due to the large number of particles a decentralized approach should be favored. In this work, such an iterative multi-objective optimization problem is modeled as multiagent system. We propose a local solution technique based on regions and some special coordination media. Agents select target objects based on the region they are in. Different region types are considered and a local heuristic is developed. We show the general potential of regions and experimentally analyze different approaches. All approaches are able to provide high quality solutions.

References

  1. Ducatelle, F., Förster, A., Di Caro, G., and Gambardella, L. (2009). New task allocation methods for robotic swarms. In 9th IEEE/RAS Conference on Autonomous Robot Systems and Competitions.
  2. Fjällström, P.-O. (1998). Algorithms for graph partitioning: A survey. Linkping Electronic Articles in Computer and Information Science, 3(10).
  3. Goebels, A. (2007). Agent Coordination Mechanisms for Solving a Partitioning Task. Logos.
  4. Kasbekar, G., Kuri, J., and Nuggehalli, P. (2006). Online association policies in IEEE 802.11 WLANs. In 4th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2006), pages 11-20. IEEE.
  5. Kemmerich, T. and Kleine Büning, H. (2010a). External coordination media in capacity-constrained multiagent systems. In Proc. IEEE/WIC/ACM Intl. Joint Conf. on Web Intelligence and Intelligent Agent Technology (WI-IAT'10), pages 109-116. IEEE Computer Society.
  6. Kemmerich, T. and Kleine Büning, H. (2010b). Regionbased heuristics for an iterative partitioning problem in multiagent systems (extended version). Technical Report TR-RI-10-320, University of Paderborn.
  7. Omicini, A., Ricci, A., and Viroli, M. (2008). Artifacts in the A&A meta-model for multi-agent systems. Autonomous Agents and Multi-Agent Systems, 17(3):432-456.
  8. Omicini, A., Ricci, A., Viroli, M., Castelfranchi, C., and Tummolini, L. (2004). Coordination artifacts: Environment-based coordination for intelligent agents. In Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'04), pages 286-293. IEEE Computer Society.
  9. Parunak, H. V. D. and Weyns, D. (2007). Guest editors' introduction, special issue on environments for multiagent systems. Autonomous Agents and Multi-Agent Systems, 14(1):1-4.
  10. Sedaghat, M. N., Nejad, L. P., Iravanian, S., and Rafiee, E. (2006). Task allocation for the police force agents in robocuprescue simulation. In RoboCup, volume 4020 of LNCS, pages 656-664. Springer.
  11. Yen, L.-H., Yeh, T.-T., and Chi, K.-H. (2009). Load balancing in IEEE 802.11 networks. Internet Computing, 13(1):56-64.
Download


Paper Citation


in Harvard Style

Kemmerich T. and Kleine Büning H. (2011). REGION-BASED HEURISTICS FOR AN ITERATIVE PARTITIONING PROBLEM IN MULTIAGENT SYSTEMS . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-41-6, pages 200-205. DOI: 10.5220/0003151202000205


in Bibtex Style

@conference{icaart11,
author={Thomas Kemmerich and Hans Kleine Büning},
title={REGION-BASED HEURISTICS FOR AN ITERATIVE PARTITIONING PROBLEM IN MULTIAGENT SYSTEMS},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2011},
pages={200-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003151202000205},
isbn={978-989-8425-41-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - REGION-BASED HEURISTICS FOR AN ITERATIVE PARTITIONING PROBLEM IN MULTIAGENT SYSTEMS
SN - 978-989-8425-41-6
AU - Kemmerich T.
AU - Kleine Büning H.
PY - 2011
SP - 200
EP - 205
DO - 10.5220/0003151202000205