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The majority of possible ranges for parameters are carefully tuned to be biased strongly toward acceptable results. The more these ranges are controlled, the less surprise becomes likely. The less these ranges are constrained, the more we are likely to be disappointed by purely random results. There is typically very little discussion in systems papers describing the manual tuning conducted, possibly because of the subjective aesthetic nature of the results which can detract from objective analysis of new techniques.
A Digital Prototyping System for Designing Novel 3D Geometries. In: 6th International Conference on Virtual Systems and Multimedia. Ogaki, Gifu, Japan, 473–482 111. , Rosa, A. (1998). 3D Artiﬁcial Art by Genetic Algorithms. In: Proceedings of the Workshop on Evolutionary Design at Artiﬁcial Intelligence in Design – AID’ 98, 18–21 112. , Case, K. (1999). Evolutionary form design: The application of genetic algorithmic techniques to computer aided product design. In: Proceedings of the 15th National Conference on Manufacturing Research (NCMR).
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