Bittermann M.S.Ciftcioglu O.2024-07-122024-07-1220169.78151E+1210.1109/CEC.2016.77442852-s2.0-85008252466https://dx.doi.org/10.1109/CEC.2016.7744285https://hdl.handle.net/20.500.12415/9033IEEE Computational Intelligence Society (CIS)2016 IEEE Congress on Evolutionary Computation, CEC 2016 -- 24 July 2016 through 29 July 2016 -- -- 124911Studies on computer-based visual perception and aesthetical judgment for architectural design are presented. In the model, both color and the geometric aspects of human vision are jointly taken into account, quantifying the perception of an individual object, as well as a scene consisting of several objects. This is accomplished by fuzzy neural tree processing. Based on the perception model, aesthetical color compositions are identified for a scene using multi-objective evolutionary algorithm. The methodology is described together with associated computer experiments verifying the theoretical considerations. Modeling of aesthetical judgment is a significant step for applications, where human-like visual perception and cognition are of concern. Examples of such applications are architectural design, product design, and urbanism. © 2016 IEEE.eninfo:eu-repo/semantics/closedAccessArchitectural designColor differenceFuzzy neural treeGenetic algorithmPareto frontVisual perceptionConference Object39163909