Evolvable Threaded Controllers for a Multi-Agent Grid Robot Task


If skip action (ISAc) lists are a linear genetic programming data structure that can be used as an evolvable grid robot controller. In this study ISAc lists are modified to run multiple control threads so that a single ISAc list can control multiple grid robots. The threaded ISAc lists are tested by evolving them to control 20–25 grid robots that all must exit a virtual room through a single door. The evolutionary algorithm used rapidly locates a variety of controllers that permit the room to be cleared efficiently.

  • Abstract
  • 1 Introduction
  • 2 Controller Representation
  • 3 Experimental Design
  • 4 Results and Discussion
  • Acknowledgments
  • References

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