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- W2382809600 abstract "The optimization of the power train mounting parameters can be achieved by many ways as poles shifting,decoupling and reducing the response at the mountings of the system.Therefore,the design of mounting parameters is a multi-objective optimization problem.By applying the association analysis method in grey theory,and selecting the global extremum and individual extremum in the particle swarm algorithm,and together with robust design thought,the grey particle swarm robust algorithm robust optimization applicable to multi-objective models was presented,and thenthisalgorithmwasappliedintheoptimizationdesignofthe" @default.
- W2382809600 created "2016-06-24" @default.
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- W2382809600 date "2011-01-01" @default.
- W2382809600 modified "2023-09-23" @default.
- W2382809600 title "Multi-objective optimization design of engine mounting system parameters based on grey particle swarm optimization" @default.
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