• DocumentCode
    2641350
  • Title

    GAPS: a genetic programming system

  • Author

    Kramer, M.D. ; Du Zhang

  • Author_Institution
    Dept. of Comput. Sci., California State Univ., Sacramento, CA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    614
  • Lastpage
    619
  • Abstract
    Genetic programming tackles the issue of how to automatically create a working computer program for a given problem from some initial problem statement. The goal is accomplished in genetic programming by genetically breeding a population of computer programs in terms of the principles of Darwinian natural selection of the fittest and genetic operations. We describe a genetic programming system called GAPS. GAPS has the following features: it implements the prototypical generational algorithm for genetic programming with three improvements (the honor roll, improved termination criteria and the tree techniques for fitness evaluation); it includes an extensible language tailored to the needs of genetic programming; and it is a complete, standalone system that allows for genetic programming tasks to be carried our without requiring other tools such as compilers. Preliminary results with GAPS have been satisfactory
  • Keywords
    automatic programming; genetic algorithms; Darwinian natural selection; GAPS; automatic programming; extensible language; genetic breeding; genetic programming system; standalone system; Computer science; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Program processors; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2000. COMPSAC 2000. The 24th Annual International
  • Conference_Location
    Taipei
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-0792-1
  • Type

    conf

  • DOI
    10.1109/CMPSAC.2000.884788
  • Filename
    884788