Adapting a natural system simulation model to a general-purpose metaheuristic: toward engineering emergent distributed decision-making

  • Authors:
  • Alexander S. Mentis;Levent Yilmaz

  • Affiliations:
  • Auburn University;Auburn University

  • Venue:
  • Proceedings of the 2013 Summer Computer Simulation Conference
  • Year:
  • 2013

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Abstract

In this paper we propose the design of a metaheuristic for achieving consensus among distributed autonomous agents based on the honey-bee colony nest site selection process. We derive the model for our metaheuristic from two agent-based models of honey bee behavior and explain how this natural process can be adapted to develop a general-purpose solution. The solution strategy is presented in terms of the composition of multiple agent-based design patterns to facilitate systematic engineering of the desired emergent behavior observed in natural systems.