Canonical representation genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{WoodwardB:2009:GEC,
  author =       "John R. Woodward and Ruibin Bai",
  title =        "Canonical representation genetic programming",
  booktitle =    "GEC '09: Proceedings of the first ACM/SIGEVO Summit on
                 Genetic and Evolutionary Computation",
  year =         "2009",
  editor =       "Lihong Xu and Erik D. Goodman and Guoliang Chen and 
                 Darrell Whitley and Yongsheng Ding",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  pages =        "585--592",
  address =      "Shanghai, China",
  organisation = "SigEvo",
  URL =          "http://www.cs.nott.ac.uk/~jrw/publications/canonical.pdf",
  DOI =          "doi:10.1145/1543834.1543914",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        jun # " 12-14",
  isbn13 =       "978-1-60558-326-6",
  keywords =     "genetic algorithms, genetic programming, No Free Lunch
                 Theorem (NFL), canonical representation, standard form,
                 evolutionary computation, bias, symmetric functions,
                 inverse functions, complementary functions, isomorphic
                 representations",
  size =         "8 pages",
  abstract =     "Search spaces sampled by the process of Genetic
                 Programming often consist of programs which can
                 represent a function in many different ways. Thus, when
                 the space is examined it is highly likely that
                 different programs may be tested which represent the
                 same function, which is an undesirable waste of
                 resources. It is argued that, if a search space can be
                 constructed where only unique representations of a
                 function are permitted, then this will be more
                 successful than employing multiple representations.
                 When the search space consists of canonical
                 representations it is called a canonical search space,
                 and when Genetic Programming is applied to this search
                 space, it is called Canonical Representation Genetic
                 Programming. The challenge lies in constructing these
                 search spaces. With some function sets this is a
                 trivial task, and with some function sets this is
                 impossible to achieve. With other function sets it is
                 not clear how the goal can be achieved. In this paper,
                 we specifically examine the search space defined by the
                 function set {+,-,*,/} and the terminal set {x, 1}.
                 Drawing inspiration from the fundamental theorem of
                 arithmetic, and results regarding the fundamental
                 theorem of algebra, we construct a representation where
                 each function that can be constructed with this
                 primitive set has a unique representation.",
  notes =        "

                 best paper in conference.
                 http://tech.groups.yahoo.com/group/genetic_programming/message/5687

                 Also known as \cite{DBLP:conf/gecco/WoodwardB09} part
                 of \cite{DBLP:conf/gec/2009}",
}

Genetic Programming entries for John R Woodward Ruibin Bai

Citations