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

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@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

Citations