Identification of Mechanical Behaviour by Genetic Programming Part II: Energy Formulation

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@TechReport{sebag:1995:imGP2,
  author =       "Marc Schoenauer and Bertrand Lamy and Francois Jouve",
  title =        "Identification of Mechanical Behaviour by Genetic
                 Programming Part {II}: {E}nergy Formulation",
  institution =  "Ecole Polytechnique",
  year =         "1995",
  address =      "91128 Palaiseau, France",
  keywords =     "genetic algorithms, genetic programming, solid state
                 mechanical models, hybrid GP and local paramter
                 optimisation",
  abstract =     "Goal is to build hyper-elastic 3-D models using statc
                 experiments. Focuses on discovering local energy
                 function using GP.

                 Splits deep evolution (ie crossover and mutation) from
                 surface evolution (parameter adjustment using random
                 process like Evolution Strategies). Uses generational
                 GPQuick. Crossover 0.3, mutation 0.5 and copy 0.2
                 Prepared to run to 1000 generations. Pop size
                 500.

                 Fitness based on closeness of match both of GP function
                 and also its derivative. (tentativly this seems to
                 increase both accuracy and robustness) However results
                 indicate GP is overfitting (due to single fitness
                 case?)",
  notes =        "See also part 1 \cite{sebag:1995:imGP1}

                 ",
  size =         "3 pages",
}

Genetic Programming entries for Marc Schoenauer Bertrand Lamy Francois Jouve