Genetic Programming-Based Approach for Structural Optimization

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{soh:2000:JCCE,
  author =       "Chee Kiong Soh and Yaowen Yang",
  title =        "Genetic Programming-Based Approach for Structural
                 Optimization",
  journal =      "Journal of Computing in Civil Engineering",
  year =         "2000",
  volume =       "14",
  number =       "1",
  pages =        "31--37",
  month =        jan,
  publisher =    "American Society of Civil Engineers",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.wmich.edu/jcce/v14n1ab5.htm",
  DOI =          "doi:10.1061/(ASCE)0887-3801(2000)14:1(31)",
  abstract =     "The main purpose of this paper is to introduce genetic
                 programming into civil engineering problem solving.
                 This paper describes a genetic programming-based
                 approach for simultaneous sizing, geometry, and
                 topology optimization of structures. An encoding
                 strategy is presented to map between the real
                 structures and the genetic programming parse trees.
                 Numerical results for two examples reveal that the
                 proposed approach is capable of producing the topology
                 and shape of the desired trusses and the sizing of all
                 the structural components. Hence, this approach can
                 potentially be a powerful search and optimization
                 technique in civil engineering problem solving.",
}

Genetic Programming entries for Chee Kiong Soh Yaowen Yang

Citations