Multi Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Mihai Oltean and D. Dumitrescu",
  title =        "Multi Expression Programming",
  year =         "2002",
  month =        May,
  note =         "submitted",
  email =        "",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Computation, Multi Expression Programming, linear
                 representation, Tic-Tac-Toe, symbolic regression, game
                 strategy, heuristics generation.",
  URL =          "",
  size =         "33 pages",
  abstract =     "In this paper a new evolutionary paradigm, called
                 Multi-Expression Programming (MEP), intended for
                 solving computationally difficult problems is proposed.
                 A new encoding method is designed. MEP individuals are
                 linear entities that encode complex computer programs.
                 In this paper MEP is used for solving some
                 computationally difficult problems like symbolic
                 regression, game strategy discovering, and for
                 generating heuristics. Other exciting applications of
                 MEP are suggested. Some of them are currently under
                 development. MEP is compared with Gene Expression
                 Programming (GEP) by using a well-known test problem.
                 For the considered problems MEP performs better than
  notes =        "Note critisism on GP-list of {"}MEP better than GEP{"}
                 cf. \cite{ferreira:2001:CS} 15 May 2002

                 Oct 2006 oltean_pdf.pdf seems to be a newer version.",

Genetic Programming entries for Mihai Oltean D Dumitrescu