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OALib Journal期刊
ISSN: 2333-9721
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Generalized Genetic Algorithms and Its Application to Identifying Flow Parameters
广义遗传算法及其在水流参数反演中的应用

Keywords: genetic algorithms,improving,generalized genetic algorithms,flow parameters,identifying
遗传算法
,改进,广义遗传算法,水流参数,反演

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Abstract:

Enlightened from Accelerating Genetic Algorithms(AGA),the author presented Generalized Genetic Algorithms(GGA) to settle the problem that Simple Genetic Algorithms(SGA) can't be easily applied to practice.GGA inherits ancestor's genes and imitates trend behavior in nature.It can preserve excellent individuals' diversity and uses excellent individual room of ancestors as propagating room of next generation.GGA generalizes SGA and AGA.When GGA's parameters configured,more kinds of GAs may be designed.GGA was applied to identifying flow parameters,and the results indicated that GGA has rapid convergence rate and high convergence precision.Thus,GGA's future is hopeful.

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