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- W2272002169 abstract "To facilitate the conceptual design of large-span roof truss systems, multi-objective optimization algorithms offer engineers a choice of potential design alternatives that meet rigorous standards in terms of allowable weight and deflection. Often, these algorithms operate independently of the designer until selection of a final alternative. However, incorporating a user's aesthetic design preferences into roof truss optimization may improve the process by capitalizing on a human user's ability to visually assess design effectiveness and by making the system more responsive to the needs of the designer. The current research effort develops a mechanism for capturing a user's aesthetic design preferences so that these preferences may be embedded into the optimization process. Development of the mechanism includes selecting a set of features to uniquely identify the aesthetic characteristics of a truss; choosing a clustering mechanism to perceive similarities between trusses and simplify the user input process; and creating an algorithm to extrapolate previous user evaluations into predictions of future preference." @default.
- W2272002169 created "2016-06-24" @default.
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- W2272002169 date "2006-01-01" @default.
- W2272002169 modified "2023-09-24" @default.
- W2272002169 title "Capturing User Aesthetic Design Preferences During Multi-Objective Roof Truss Optimization" @default.
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