Developing genetic programming techniques for the design of compliant mechanisms

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

@Article{Parsons02,
  author =       "R. Parsons and S. L. Canfield",
  title =        "Developing genetic programming techniques for the
                 design of compliant mechanisms",
  journal =      "Structural and Multidisciplinary Optimization",
  volume =       "24",
  number =       "1",
  pages =        "78--86",
  month =        aug,
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming, compliant
                 mechanisms, topological optimisation",
  ISSN =         "1615-147X (print version)",
  URL =          "http://delta.cs.cinvestav.mx/~ccoello/EMOO/parsons02.pdf.gz",
  DOI =          "doi:10.1007/s00158-002-0216-0",
  size =         "9 pages",
  abstract =     "Compliant mechanisms achieve desired force and
                 displacement characteristics through elastic
                 deformation of their structure. Current research in the
                 synthesis of compliant mechanism topology has pursued
                 multiobjective optimization using gradient-based search
                 methods. This paper will explore the use of a
                 random-guided search method for multiobjective
                 optimisation of compliant mechanisms through genetic
                 programming techniques. The combination of genetic
                 algorithms and compliant mechanisms is an effective and
                 interesting combination of two biologically inspired
                 engineering design areas. This paper will describe and
                 demonstrate the successful use of genetic programming
                 to create a general design tool for topological
                 synthesis of compliant mechanisms. Features that
                 exploit the implementation of genetic algorithms to
                 compliant mechanism design, such as multiple criteria
                 specification, multiple-design parameter variation, and
                 final selections from a family of solutions will be
                 presented and discussed. Finally, the use of this
                 design tool will be demonstrated on several familiar
                 examples for validation and discussion.",
  notes =        "page 79 {"}The chromosome is composed of genes and is
                 represented by an l-bit string of base j.{"}

                 Not a variable structure GP.",
}

Genetic Programming entries for R Parsons S L Canfield

Citations