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- W2369962607 abstract "Based on the technique of gene replacement,an optimization algorithm identified as gene replacement breeding algorithm(GRBA) is proposed in this paper to achieve optimization of given accuracy to meet the demand of practical engineering applications.In GRBA,an arbitrary binary encoded individual is taken as the breeding objective,and the optimum is obtained through evolutionary operation by gene replacement.The convergence performance and the computation cost of the algorithm is analyzed and estimated theoretically and experimentally.The results show that the current algorithm can approach accurate local optimization in foreseeable number of function calling without any provisos on the form of function and variables,and can be used as a simple and effective universal function optimization method." @default.
- W2369962607 created "2016-06-24" @default.
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- W2369962607 date "2011-01-01" @default.
- W2369962607 modified "2023-09-23" @default.
- W2369962607 title "A function optimization method based on the technique of gene replacement and its convergence performance" @default.
- W2369962607 hasPublicationYear "2011" @default.
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