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Multi-objective optimization by genetic algorithm of structural systems subject to random vibrations

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Abstract

This paper deals with a multi-objective optimization criterion for linear viscous-elastic device utilised for decreasing vibrations induced in mechanical and structural systems by random loads. The proposed criterion for the optimum design is the minimization of a vector objective function. The multi-objective optimization is carried out by means of a stochastic approach. The design variables are the device frequency and the damping ratio. As cases of study, two different problems are analysed: the base isolation of a rigid mass and the tuned mass damper positioned on a multi degree of freedom structural system subject to a base acceleration. The non-dominated sorting genetic algorithm in its second version (NSGA-II) is adopted to obtain the Pareto sets and the corresponding optima for different characterizations of the system and input.

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Correspondence to Giuseppe Carlo Marano.

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Marano, G.C., Quaranta, G. & Greco, R. Multi-objective optimization by genetic algorithm of structural systems subject to random vibrations. Struct Multidisc Optim 39, 385–399 (2009). https://doi.org/10.1007/s00158-008-0330-8

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  • DOI: https://doi.org/10.1007/s00158-008-0330-8

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