Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Original Papers
A development on the design idea generation support system for the facade of the office building
Part1. Examination of the number of IDE (Interactive Differential Evolution) population choice pattern
Takahide KAWANOKazutoshi TSUTSUMI
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JOURNAL FREE ACCESS

2011 Volume 23 Issue 1 Pages 54-64

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Abstract

1. Purpose
In the various manufacturing fields including the building field, the form design is devised by the designer. However, the designer's idea range depends on his personal background such as education or environment, so it has been pointed out that his design idea is controlled by his background. The facade of the building controls the visitor's impression, so the image of the design is very important. Various studies such as the constitutions or histories of the facade are performed, but the facade design support system has not been developed. Therefore, if there is an idea generation support system which is defeating a conventional idea of the designer and expresses the detail of the facade, it would be effective. The purpose of this study is to develop the idea generation support system giving “discovery” to the designer for the facade design of an office building. As the first step, this study analyzes the form elements constituting a facade and develops the IDE system reducing the user's psychological burden. The effectiveness of IDE is verified by comparing three different cases of the number of individuals in IDE, for the user's psychological burden and satisfaction degree as the idea generation support system.
2. Methods
58 form elements are extracted by collecting and classifying the image of an existing office building. 58 form elements are replaced to the individual's vector of IDE, and became incorporated into IDE algorithm. 3D image of facade by IDE algorithm is expressed by VRML. The verification of this system was performed by 10 students learning architecture.
3. Conclusions
In IDE algorithm, the case that the number of individuals is larger than the number of evaluation individuals is more effective than the case that the number of individuals is equal to the number of evaluation individuals. And, the individuals except evaluation individuals do not need to be changed on each generation. In this system, the number of evaluation individuals is not changed but the number of individuals is changed. Therefore, the evaluation of the whole system is improved, because user's psychological burden does not occur and the form variations are increased. In form elements, there are small differences by evaluator's personal background, but it seems to be proper because exciting designs are generated for about 90% of all the trials, and the end condition is realized in about half of the trials. The number of data of verification is small, but this system seems to be effective because this system can offer an exciting design to all evaluators in a comparatively early generation.

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© 2011 Japan Society for Fuzzy Theory and Intelligent Informatics
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