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This paper details the incorporation of user design preference into an algorithm designed for the multi-objective optimization of large-span roof trusses. Several mechanisms are considered to embed preference into the optimization procedures of an implicit redundant representation (IRR) genetic algorithm (GA). A prediction of user preference was included in both the selection and ranking procedures of the GA. The inclusion of user preference encourages topological exploration while preserving structurally optimal designs.
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