Applying genetic programming and ant colony optimisation to improve the geometric design of a reflector

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

@Article{journals/ijsysc/Hsu12,
  author =       "Chih-Ming Hsu",
  title =        "Applying genetic programming and ant colony
                 optimisation to improve the geometric design of a
                 reflector",
  journal =      "International Journal of Systems Science",
  year =         "2012",
  number =       "5",
  volume =       "43",
  pages =        "972--986",
  month =        may,
  keywords =     "genetic algorithms, genetic programming,
                 light-emitting diode, reflector, ant colony
                 optimisation, multi-response parameter design",
  ISSN =         "0020-7721",
  DOI =          "doi:10.1080/00207721.2010.547627",
  size =         "15 pages",
  abstract =     "The lighting performance of an LED (light-emitting
                 diode) flash is significantly influenced by the
                 geometric form of a reflector. Previously, design
                 engineers have usually determined the geometric design
                 of a reflector according to the principles of optics
                 and their own experience. Some real reflectors have
                 then been created to verify the feasibility and
                 performance of a certain geometric design. This,
                 however, is a costly and time-consuming procedure.
                 Furthermore, the geometric design of a reflector cannot
                 be proved to be actually optimal. This study proposes a
                 systematic approach based on genetic programming (GP)
                 and ant colony optimisation (ACO), called the GP-ACO
                 procedure, to improve the geometric design of a
                 reflector. A case study is used to demonstrate the
                 feasibility and effectiveness of the proposed
                 optimisation procedure. The results show that all the
                 crucial quality characteristics of an LED flash fulfil
                 the required specifications; thus, the optimal
                 geometric parameter settings of the reflector obtained
                 can be directly applied to mass production.
                 Consequently, the proposed GP-ACO procedure can be
                 considered an effective method for resolving general
                 multi-response parameter design problems",
  notes =        "Department of Business Administration, Minghsin
                 University of Science and Technology, 1 Hsin Hsin Road,
                 Hsin Feng, Hsin Chu, 30401 Taiwan",
  bibdate =      "2012-03-05",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/ijsysc/ijsysc43.html#Hsu12",
}

Genetic Programming entries for Chih-Ming Hsu

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