Aero-Engine Dynamic Start Model Based on Parsimonious Genetic Programming

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

@InProceedings{Wei:2006:WCICA,
  author =       "Xunkai Wei and Yinghong Li",
  title =        "Aero-Engine Dynamic Start Model Based on Parsimonious
                 Genetic Programming",
  booktitle =    "The Sixth World Congress on Intelligent Control and
                 Automation, WCICA 2006",
  year =         "2006",
  volume =       "1",
  pages =        "1478--1482",
  address =      "Dalian",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-4244-0332-4",
  DOI =          "doi:10.1109/WCICA.2006.1712595",
  abstract =     "A novel parsimonious genetic programming (PGP)
                 algorithm together with a novel aero-engine optimum
                 data-driven dynamic start process model based on PGP
                 was proposed. The method uses traditional GP to
                 generate nonlinear input-output models that are
                 represented in a binary tree structure. It introduces
                 error reduction ratio (Err) to estimate the
                 contribution of each branch of the tree, which refers
                 to basic function term that cannot be decomposed any
                 more according to special given rule. It applies
                 orthogonal least squares algorithm (OLS) to eliminate
                 complex redundant subtrees and then enhance convergence
                 speed of GP. It is expected to obtain simple, reliable
                 and exact linear-in-parameters nonlinear model via GP
                 evolution algorithm. Application to real aero-engine
                 start process test data validates that the proposed
                 method can generate more robust and interpretable
                 models. It is a rather promising method for complex
                 nonlinear systems modelling with rather little prior
                 system knowledge",
  notes =        "Dept. of Aircraft & Power Eng., Air Force Eng. Univ.,
                 Xi'an",
}

Genetic Programming entries for Xunkai Wei Yinghong Li

Citations