Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Dong-Wook Lee and Chang-Bong Ban and Kwee-Bo Sim and 
                 Ho-Sik Seok and Kwang-Ju Lee and Byoung-Tak Zhang",
  title =        "Behavior evolution of autonomous mobile robot using
                 genetic programming based on evolvable hardware",
  booktitle =    "IEEE International Conference on Systems, Man, and
  year =         "2000",
  volume =       "5",
  pages =        "3835--3840",
  address =      "Nashville, TN, USA",
  month =        "8-11 " # oct,
  keywords =     "genetic algorithms, genetic programming, EHW,
                 autonomous mobile robot, autonomous mobile robots
                 cooperation, behavior evolution, chromosome
                 representation method, context switchable identical
                 block structure, crossover operator, evolutionary
                 strategy, evolvable hardware, genetic tree, hardware
                 implementation method, online adaptive learnable
                 evolvable hardware, tree structured chromosome,
                 evolutionary computation, mobile robots, multi-robot
                 systems, reconfigurable architectures",
  DOI =          "doi:10.1109/ICSMC.2000.886608",
  abstract =     "This paper presents a genetic programming based
                 evolutionary strategy for on-line adaptive learnable
                 evolvable hardware. Genetic programming can be a useful
                 control method for evolvable hardware for its unique
                 tree structured chromosome. However it is difficult to
                 represent the tree structured chromosome in hardware,
                 and it is difficult to use the crossover operator in
                 hardware. Therefore, genetic programming is not as
                 popular as genetic algorithms in the evolvable hardware
                 community in spite of its possible strengths. We
                 propose a chromosome representation method and a
                 hardware implementation method that can be helpful for
                 this situation. Our method uses a context switchable
                 identical block structure to implement a genetic tree
                 in evolvable hardware. We compose an evolutionary
                 strategy for evolvable hardware by combining the
                 proposed method with other research results. The
                 proposed method is applied to the autonomous mobile
                 robots cooperation problem to verify its usefulness",

Genetic Programming entries for Dong-Wook Lee Chang-Bong Ban Kwee-Bo Sim Ho-Sik Seok Kwang-Ju Lee Byoung-Tak Zhang