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- W2385691404 abstract "In this paper, a new formula for scaling fitness is introduced in order to solve the difficulty for selecting the population at the initial or final phases when using GA, guide the development direction of the population correctly, and solove the problem that the fitness value will be nonnegative after scaling. And the similarity is also defined to increase the varieties of the population without increasing the number of the population, which can solve the problem that the algorithm is prone to be converged on the local optimum." @default.
- W2385691404 created "2016-06-24" @default.
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- W2385691404 date "2003-01-01" @default.
- W2385691404 modified "2023-09-23" @default.
- W2385691404 title "The Solution of Multi-Extremum Function by Using Improved Genetic Algorithms" @default.
- W2385691404 hasPublicationYear "2003" @default.
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