Simultaneous Evolutionary-Based Optimization of Controller and Morphology of Snake-Like Modular Robots

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@InProceedings{Chee:2014:ICAIET,
  author =       "Wei Shun Chee and Jason Teo",
  booktitle =    "4th International Conference on Artificial
                 Intelligence with Applications in Engineering and
                 Technology (ICAIET)",
  title =        "Simultaneous Evolutionary-Based Optimization of
                 Controller and Morphology of Snake-Like Modular
                 Robots",
  year =         "2014",
  pages =        "37--42",
  abstract =     "This paper explores the use of evolutionary algorithm
                 approach to automatically design and optimise the
                 snake-like modular robot to automatically design and
                 optimise the snake-like modular robot to acquire the
                 forward moving behaviour. A hybridized Genetic
                 Programming and self-adaptive Differential Evolution
                 algorithm is implemented to co-evolving both the
                 morphology and controller of the robot throughout the
                 artificial evolutionary process. Two different
                 artificial evolutionary experiments have been conducted
                 in this paper by using the classic DE mutation
                 technique (DE/rand/1/bin) and a customized DE mutation
                 technique with different mutation differential
                 operation. It was found out that the customized DE
                 mutation approach is more effective in co-evolving both
                 the morphology and controller for the snake-like
                 modular robot to acquire forward moving behaviour.
                 Moreover, from the analysis conducted on the results
                 obtained throughout the evolutionary process,
                 interesting findings were discovered on the evolved
                 morphology and moving behaviour of the snake-like
                 modular robot. In conclusion, promising results were
                 shown in this work which suggests that the co-evolving
                 evolutionary algorithm presented in this work is an
                 alternative method and feasible to be implemented to
                 automatically design and optimise the modular robot for
                 the moving behaviour by co-evolving both the morphology
                 and controller of the modular robot.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICAIET.2014.16",
  month =        dec,
  notes =        "Also known as \cite{7351810}",
}

Genetic Programming entries for Wei Shun Chee Jason Teo

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