Genetic Evolution of Machine Language Software

by

Crepeau, R., L.

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Info: Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications (Conference proceedings), 1995, p. 121-134
Keywords:genetic algorithms, genetic programming
Abstract:
Z80 Machine code evolved to write "Hello World" 660 instructions and 255 byte RAM (modular arithmentic used to address indexed memory)
Notes:
GEMS genetic evolution of machine language software Breeding system similar to crowding and Tackett's Softbrood selection (max litter size of 12). GA like crossover acts on code and contents of memory. Pool of 1500 member 0.20 mutation rate. "indicates that the problem difficulty, over the range of the test and in terms of required spawns, while increasing rapidly, does not appear to be cominatorial or exponential" (suggests O(n**3) ). Discussion of statistics of number of useful terminals in random and later populations. Memory initialised to random values part of rosca:1995:ml
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BibTex:
@InProceedings{crepeau:1995:GEMS,
  author =       "Ronald L. Crepeau",
  title =        "Genetic Evolution of Machine Language Software",
  booktitle =    "Proceedings of the Workshop on Genetic Programming:
                 From Theory to Real-World Applications",
  year =         "1995",
  editor =       "Justinian P. Rosca",
  pages =        "121--134",
  address =      "Tahoe City, California, USA",
  month =        "9 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  size =         "14 pages",
  abstract =     "Z80 Machine code evolved to write {"}Hello World{"}
                 660 instructions and 255 byte RAM (modular arithmentic
                 used to address indexed memory)",
  notes =        "GEMS genetic evolution of machine language software
                 Breeding system similar to crowding and Tackett's
                 Softbrood selection (max litter size of 12). GA like
                 crossover acts on code and contents of memory. Pool of
                 1500 member 0.20 mutation rate.

                 {"}indicates that the problem difficulty, over the
                 range of the test and in terms of required spawns,
                 while increasing rapidly, does not appear to be
                 cominatorial or exponential{"} (suggests O(n**3)
                 ).

                 Discussion of statistics of number of useful terminals
                 in random and later populations.

                 Memory initialised to random values part of
                 rosca:1995:ml",
}