Evolvable Threaded Controllers for a Multi-Agent Grid Robot Task

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Ashlock:2006:ANNIE,

• 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",
• chapter = "22",
• 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

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