Accelerative Genetic Algorithm-Based Parameter Optimization in Storm Intensity Formula

Zhang Lin Guo; Rui Zhang

doi:10.4028/www.scientific.net/AMR.790.682

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 790Accelerative Genetic Algorithm-Based Parameter...

Accelerative Genetic Algorithm-Based Parameter Optimization in Storm Intensity Formula

Abstract:

The genetic algorithm is an effective method to optimize model parameters, and to improve it, will accelerate the genetic algorithm is applied to the optimization of the return period storm intensity and rainfall parameters in the relationship with the traditional regression method and preferred-dregression optimization results are analyzed and compared. An example shows that: accelerative genetic algorithm for parameter estimation in storm intensity formula accuracy than traditional regression method and preferred regression parameters meter accuracy.

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Periodical:

Advanced Materials Research (Volume 790)

Pages:

682-685

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.790.682

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Online since:

September 2013

Authors:

Zhang Lin Guo, Rui Zhang

Keywords:

Accelerative Genetic Algorithm, Parameter Optimization, Storm Intensity

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