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- W2372682011 abstract "An improved self-adaptive genetic algorithm(GA) with population uniformity in the whole solution space has been proposed,and the initial population has been improved using the random method for increasing convergency of the optimum in the global space.In optimizing,self-adaptive algorithm has been introduced to adjust the self-adaptive cross operator,self-adaptive mutant operator and fitness function.For verifying the feasibility and validity of the proposed GA,some typical nonlinear testing functions with multiple extremes have been testified.By comparison of the optimized testing results with the analytical solutions and the traditional ones,it is proved that the global searching ability and convergency speed of the proposed GA are higher than those of the standard genetic algorithm(SGA)." @default.
- W2372682011 created "2016-06-24" @default.
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- W2372682011 date "2005-01-01" @default.
- W2372682011 modified "2023-09-25" @default.
- W2372682011 title "Application of self-adaptive genetic algorithm with population uniformity in solution space" @default.
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