Evolutionary Software Improvement for Instruction Set Meta-evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Orlov08:evolutionary,
  author =       "Michael Orlov and Moshe Sipper",
  title =        "Evolutionary Software Improvement for Instruction Set
                 Meta-evolution",
  booktitle =    "WSSEC 2008 Workshop and Summer School on Evolutionary
                 Computing",
  year =         "2008",
  address =      "Londonderry, UK",
  month =        aug # " 18-22",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, ECJ",
  URL =          "https://www.cs.bgu.ac.il/~orlovm/papers/wssec.pdf",
  URL =          "https://www.dropbox.com/s/9hhljft3qk2dd9j/wssec.pdf",
  size =         "4 pages",
  abstract =     "A major drawback of evolutionary computation is that
                 only relatively small-scale solutions can be found
                 during the search process—it is currently impossible
                 to evolve a whole chunk of software. We propose a
                 method named evolutionary software improvement, which
                 makes it possible to take some module, or some aspect
                 of an existing software system, and improve just that
                 part using evolutionary computation. We apply
                 evolutionary software improvement to our
                 genetic-programming system Megavac, refining its
                 instruction set for a class of multi-input handling
                 problems. This allows us to develop problem-fitting
                 instruction sets in a meta-circular fashion, and leads
                 to surprising solutions evolved by Megavac for the
                 given class of problems.",
  notes =        "ECJ-Megavac

                 From Dropbox Feb 2016 Workshop/Summer School on
                 Evolutionary Computing Lecture Series by Pioneers,
                 August 18-22, 2008, Londonderry Department of Computer
                 Science, Ben-Gurion University PO Box 653, Beer-Sheva
                 84105, Israel",
}

Genetic Programming entries for Michael Orlov Moshe Sipper

Citations