Improving Design Diversity Using Graph Based Evolutionary Algorithms

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

@InProceedings{Corns:2006:CEC,
  author =       "Steven M. Corns and Daniel A. Ashlock and 
                 Douglas S. McCorkle and Kenneth Mark Bryden",
  title =        "Improving Design Diversity Using Graph Based
                 Evolutionary Algorithms",
  booktitle =    "Proceedings of the 2006 IEEE Congress on Evolutionary
                 Computation",
  year =         "2006",
  editor =       "Gary G. Yen and Lipo Wang and Piero Bonissone and 
                 Simon M. Lucas",
  pages =        "1037--1043",
  address =      "Vancouver",
  month =        "6-21 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7803-9487-9",
  DOI =          "doi:10.1109/CEC.2006.1688327",
  size =         "7 pages",
  abstract =     "Graph based evolutionary algorithms (GBEAs) have been
                 shown to have superior performance to evolutionary
                 algorithms on a variety of evolutionary computation
                 test problems as well as on some engineering
                 applications. One of the motivations for creating GBEAs
                 was to produce a diversity of solutions with little
                 additional computational cost. This paper tests that
                 feature of GBEAs on three problems: a real-valued
                 multi-modal function of varying dimension, the
                 plus-one-recall-store (PORS) problem, and an applied
                 engineering design problem. For all of the graphs
                 studied the number of different solutions increased as
                 the connectivity of the graph underlying the algorithm
                 decreased. This indicates that the choice of graph can
                 be used to control the diversity of solutions produced.
                 The availability of multiple solutions is an asset in a
                 product realization system, making it possible for an
                 engineer to explore design alternatives.",
  notes =        "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
                 the IEE.

                 IEEE Catalog Number: 06TH8846D. IEEE Xplore gives pages
                 = {"}333--339{"}",
}

Genetic Programming entries for Steven M Corns Daniel Ashlock Douglas S McCorkle Kenneth M Bryden

Citations