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 :
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