Automatic Code Generation on a MOVE Processor Using Cartesian Genetic Programming

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  author =       "James Alfred Walker and Yang Liu and 
                 Gianluca Tempesti and Andy M. Tyrrell",
  title =        "Automatic Code Generation on a MOVE Processor Using
                 Cartesian Genetic Programming",
  booktitle =    "Proceedings of the 9th International Conference
                 Evolvable Systems: From Biology to Hardware, ICES
  year =         "2010",
  editor =       "Gianluca Tempesti and Andy M. Tyrrell and 
                 Julian F. Miller",
  series =       "Lecture Notes in Computer Science",
  volume =       "6274",
  pages =        "238--249",
  address =      "York",
  month =        sep # " 6-8",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  isbn13 =       "978-3-642-15322-8",
  DOI =          "doi:10.1007/978-3-642-15323-5_21",
  abstract =     "This paper presents for the first time the application
                 of Cartesian Genetic Programming to the evolution of
                 machine code for a simple implementation of a MOVE
                 processor. The effectiveness of the algorithm is
                 demonstrated by evolving machine code for a 4-bit
                 multiplier with three different levels of parallelism.
                 The results show that 100percent successful solutions
                 were found by CGP and by further optimising the size of
                 the solutions, it is possible to find efficient
                 implementations of the 4-bit multiplier that have the
                 potential to be human competitive . Further analysis of
                 the results revealed that the structure of some
                 solutions followed a known general design
  affiliation =  "Intelligent Systems Group, Department of Electronics,
                 University of York, Heslington, York, YO10 5DD UK",

Genetic Programming entries for James Alfred Walker Yang Liu Gianluca Tempesti Andrew M Tyrrell