Combining Structural Analysis and Multi-Objective Criteria for Evolutionary Architectural Design

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jonathan Byrne and Michael Fenton and Erik Hemberg and 
                 James McDermott and Michael O'Neill and 
                 Elizabeth Shotton and Ciaran Nally",
  title =        "Combining Structural Analysis and Multi-Objective
                 Criteria for Evolutionary Architectural Design",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoApplications 2011: {EvoCOMNET}, {EvoFIN}, {EvoHOT},
                 {EvoMUSART}, {EvoSTIM}, {EvoTRANSLOG}",
  year =         "2011",
  month =        "27-29 " # apr,
  editor =       "Cecilia {Di Chio} and Anthony Brabazon and 
                 Gianni {Di Caro} and Rolf Drechsler and Marc Ebner and 
                 Muddassar Farooq and Joern Grahl and Gary Greenfield and 
                 Christian Prins and Juan Romero and 
                 Giovanni Squillero and Ernesto Tarantino and Andrea G. B. Tettamanzi and 
                 Neil Urquhart and A. Sima Uyar",
  series =       "LNCS",
  volume =       "6625",
  publisher =    "Springer Verlag",
  address =      "Turin, Italy",
  publisher_address = "Berlin",
  pages =        "204--213",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, grammatical
  isbn13 =       "978-3-642-20519-4",
  DOI =          "doi:10.1007/978-3-642-20520-0_21",
  size =         "10 page",
  abstract =     "This study evolves and categorises a population of
                 conceptual designs by their ability to handle physical
                 constraints. The design process involves a trade-off
                 between form and function. The aesthetic considerations
                 of the designer are constrained by physical
                 considerations and material cost. In previous work, we
                 developed a design grammar capable of evolving
                 aesthetically pleasing designs through the use of an
                 interactive evolutionary algorithm. This work
                 implements a fitness function capable of applying
                 engineering objectives to automatically evaluate
                 designs and, in turn, reduce the search space that is
                 presented to the user.",
  notes =        "Part of \cite{DiChio:2011:evo_b} EvoApplications2011
                 held inconjunction with EuroGP'2011, EvoCOP2011 and
  affiliation =  "Natural Computing Research & Applications Group,
                 University College Dublin, Ireland",

Genetic Programming entries for Jonathan Byrne Michael Fenton Erik Hemberg James McDermott Michael O'Neill Elizabeth Shotton Ciaran Nally