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• W2356700205 abstract "Simple genetic algorithm(SGA) produces a new value only based on the mutation operator,it often obtains a solution without high precision.Moreover,SGAs instinct deficiency like the unusual slow convergence,bad stability and easily-oriented prematurity have become the biggest obstacle for its further application.To solve these problems,a method of replacement and migration to reserve the best individual is proposed,maintain the diversity of the population,and increase the precision of the solution.According to the simulation of multimodal function,and the optimization of BP neural network in prediction model of rolling force for tandem cold rolling mill,the results show that the convergent speed and global convergence are clearly improved.Besides,the predicted accuracy(0~6 %) of the optimized BP network is higher than the theoretical accuracy(0~44 %)." @default.
• W2356700205 created "2016-06-24" @default.
• W2356700205 creator A5064248141 @default.
• W2356700205 date "2009-01-01" @default.
• W2356700205 modified "2023-09-24" @default.
• W2356700205 title "Improved Genetic Algorithm Based on Replacement and Migration" @default.
• W2356700205 hasPublicationYear "2009" @default.
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