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- W2048743526 abstract "Integrated optimization of structural topology and control system is considered. The problem is formulated as mixed discrete-continuous multi-objective programming with a linear quadratic regulator cost index, and measures of robustness and controllability as objectives. The Genetic Algorithm (GA), a guided random search technique, is adopted for the problem-solving. A member elimination strategy that allows deleted members to be recovered is suggested in the search procedure. As verification for the proposed method, optimum layout and actuator placement for a 45-bar truss is illustrated. Numerical results indicate that the genetic algorithm can converge to optimum solutions by searching only a minor fraction of the solution space. Discussions on the algorithm are presented. © 1998 John Wiley & Sons, Ltd." @default.
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- W2048743526 date "1998-03-15" @default.
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- W2048743526 title "Genetic approach to optimal topology/controller design of adaptive structures" @default.
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- W2048743526 doi "https://doi.org/10.1002/(sici)1097-0207(19980315)41:5<815::aid-nme310>3.0.co;2-o" @default.
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