Abstract
Complex design decisions require not only the use of information from the artifactual world (objective, quantitative data), but also from the world of culture (subjective, qualitative data). This paper describes Evolutionary Structured Planning, a computer-supported extension to a method that supports synthesis of objective and subjective information in the design planning process. With origins in Morphological Analysis and Structured Planning, the method introduces Genetic Algorithms as means for dealing with compound solution concepts in large combinatorial solution spaces. The method is extremely flexible and capable of being applied to virtually any design problem at the conceptual level.
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© 2000 Springer Science+Business Media Dordrecht
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Bezerra, C., Owen, C.L. (2000). Evolutionary Structured Planning. In: Gero, J.S. (eds) Artificial Intelligence in Design ’00. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4154-3_15
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DOI: https://doi.org/10.1007/978-94-011-4154-3_15
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