Effective variants of max-sum algorithm to radar coordination and scheduling

  • Authors:
  • Yoonheui Kim;Michael Krainin;Victor Lesser

  • Affiliations:
  • University of Massachusetts at Amherst, MA;University of Washington, Seattle, WA;University of Massachusetts at Amherst, MA

  • Venue:
  • The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
  • Year:
  • 2011

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Abstract

This work proposes new techniques for saving communication and computational resources when solving distributed constraint optimization problems in an environment where system hardware resources are clustered. Using a pre-computed policy and two phase propagation on Max-Sum algorithm, the system performance on Radar scheduling problem improves in terms of communication and computation.