• DocumentCode
    2224046
  • Title

    Architectural design computing supported by multi-objective optimization

  • Author

    Bittermann, Michael S. ; Ciftcioglu, Ozer

  • Author_Institution
    Dept. Architecture Maltepe University, Maltepe-Istanbul, Turkey
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    2287
  • Lastpage
    2294
  • Abstract
    Studies on computer-based perception by vision modeling are described and applied to architectural design computation supported by multi-objective optimization. The visual perception is modeled from the computational viewpoint, where the model gives a probabilistic assessment for perceiving of an object. The computational visual perception is an important step in architectural design. Further, mention may be made to general design and monitoring applications. By means of computer experiments in a virtual environment the verification of the theoretical considerations are presented, and the far reaching implications of the studies are pointed out.
  • Keywords
    Bayes methods; Computational modeling; Geometry; Observers; Probabilistic logic; Visual perception; Visualization; Pareto front; architecture; computational design; genetic algorithm; visual perception; visual perception density;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7257167
  • Filename
    7257167