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
Link To Document