Fuzzy logic integrated genetic programming for structural optimization and design

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Yaowen Yang and Chee Kiong Soh",
  title =        "Fuzzy logic integrated genetic programming for
                 structural optimization and design",
  journal =      "Journal of Computing in Civil Engineering",
  year =         "2000",
  volume =       "14",
  number =       "4",
  pages =        "249--254",
  month =        oct,
  publisher =    "American Society of Civil Engineers",
  email =        "cywyang@ntu.edu.sg",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.wmich.edu/jcce/v14n4ab5.htm",
  DOI =          "doi:10.1061/(ASCE)0887-3801(2000)14:4(249)",
  abstract =     "A fuzzy logic integrated genetic programming (GP)
                 based methodology is proposed to increase the
                 performance of the GP based approach for structural
                 optimization and design. Fuzzy set theory is employed
                 to deal with the imprecise and vague information,
                 especially the design constraints, during the
                 structural design process. A fuzzy logic based
                 decision-making system incorporating expert knowledge
                 and experience is used to control the iteration process
                 of genetic search. Illustrative examples have been used
                 to demonstrate that, when comparing the proposed fuzzy
                 logic controlled GP approach with the pure GP method,
                 the proposed new approach has a higher search

Genetic Programming entries for Yaowen Yang Chee Kiong Soh