Evolvable Threaded Controllers for a Multi-Agent Grid Robot Task

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Daniel Ashlock and Kenneth M. Bryden and 
                 Nathan G. Johnson",
  title =        "Evolvable Threaded Controllers for a Multi-Agent Grid
                 Robot Task",
  booktitle =    "ANNIE 2006, Intelligent Engineering Systems through
                 Artificial Neural Networks",
  year =         "2006",
  editor =       "Cihan H. Dagli and Anna L. Buczak and 
                 David L. Enke and Mark Embrechts and Okan Ersoy",
  volume =       "16",
  address =      "St. Louis, MO, USA",
  month =        nov # " 5-8",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "0791802566",
  DOI =          "doi:10.1115/1.802566.paper22",
  abstract =     "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.",

Genetic Programming entries for Daniel Ashlock Kenneth M Bryden Nathan G Johnson