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- W2049433257 abstract "An improved multi-objective genetic algorithm for structural passive control system optimization is proposed. Based on the two-branch tournament genetic algorithm, the selection operator is constructed by evaluating individuals according to their dominance in one run. For a constrained problem, the dominance-based penalty function method is advanced, containing information on an individual's status (feasible or infeasible), position in a search space, and distance from a Pareto optimal set. The proposed approach is used for the optimal designs of a six-storey building with shape memory alloy dampers subjected to earthquake. The number and position of dampers are chosen as the design variables. The number of dampers and peak relative inter-storey drift are considered as the objective functions. Numerical results generate a set of non-dominated solutions." @default.
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- W2049433257 date "2009-07-25" @default.
- W2049433257 modified "2023-10-18" @default.
- W2049433257 title "Optimal design of dampers within seismic structures" @default.
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- W2049433257 doi "https://doi.org/10.1117/12.840077" @default.
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