Modularity in Genetic Programming

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@InCollection{Dostal:2013:HBO,
  author =       "Martin Dostal",
  title =        "Modularity in Genetic Programming",
  booktitle =    "Handbook of Optimization",
  publisher =    "Springer",
  year =         "2013",
  editor =       "Ivan Zelinka and Vaclav Snasel and Ajith Abraham",
  volume =       "38",
  series =       "Intelligent Systems Reference Library",
  chapter =      "15",
  pages =        "365--393",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-30503-0",
  URL =          "http://dx.doi.org/10.1007/978-3-642-30504-7_15",
  DOI =          "doi:10.1007/978-3-642-30504-7_15",
  abstract =     "This chapter provides a review of methods for
                 automatic modularisation of programs evolved using
                 genetic programming. We discuss several techniques used
                 to establishing modularity in program evolution,
                 including highly randomised techniques, techniques with
                 beforehand specified structure of modules, techniques
                 with evolvable structure and techniques with heuristic
                 identification of modules. At first, simple techniques
                 such as Encapsulation and Module Acquisition are
                 discussed. The next two parts reviews Automatically
                 Defined Functions and Automatically Defined Functions
                 with Architecture Altering Operations that enable to
                 evolve the structure of modules at the same time of
                 evolving the modules itself. The following section is
                 focused on Adaptive Representation through Learning, a
                 technique with heuristic-based identification of
                 modules. Next, Hierarchical Genetic Programming is
                 described. Finally, establishing recursion and
                 iteration, a code reuse technique closely related to
                 modularization, is briefly surveyed.",
  notes =        "University Olomouc, Czech Republic",
}

Genetic Programming entries for Martin Dostal

Citations