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- W2385956563 abstract "A new breeding genetic algorithm with population uniformity in the whole solution space and elitist strategy is proposed.All individuals of each generation are pro rata divided into males and females based on their values of the fitness function.During the evolution,the individuals of the next generation are generated by three kinds of ways: one way is to randomly select several females from the current population,the other way is to conform to the breeding theory to generate the children by cross several females with one male or by cross one male with another male.The global search ability is controlled by the population size and the proportion of male to female,and the convergence rate is controlled by the proportion of chromosome afforded by males and females on hybridization.The experimental results of function optimization show that the proposed algorithm is robust,and can rapidly converge to the global optima." @default.
- W2385956563 created "2016-06-24" @default.
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- W2385956563 date "2011-01-01" @default.
- W2385956563 modified "2023-09-22" @default.
- W2385956563 title "Breed Genetic Algorithm and Application of Function Optimization" @default.
- W2385956563 hasPublicationYear "2011" @default.
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