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- W2383602002 abstract "To deal with the problems of low efficiency in searching the local optimum and prematurity,a modified genetic algorithm based on sensitivity analysis was proposed,and the derivative information of objective function was used to improve the ability of finding the best. While using the niche can keep the population individual diversity from prematurity,and keep the best one. At the end of the paper,simulation results in the Shubert and the optimum of crank-rocker mechanism show that this method is excellent to improve the ability of searching optimum and solution accuracy,speed up convergence." @default.
- W2383602002 created "2016-06-24" @default.
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- W2383602002 date "2010-01-01" @default.
- W2383602002 modified "2023-09-28" @default.
- W2383602002 title "Modified Genetic Algorithm Based on Sensitivity Analysis" @default.
- W2383602002 hasPublicationYear "2010" @default.
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