The Improved Genetic Algorithms Apply on Parameter Estimation of Two Parameters Logistic Model on Item Response Theory

Peng Dong Du; Yan Hua  Chu

doi:10.4028/www.scientific.net/AMR.756-759.2620

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759The Improved Genetic Algorithms Apply on Parameter...

The Improved Genetic Algorithms Apply on Parameter Estimation of Two Parameters Logistic Model on Item Response Theory

Abstract:

Based on the item response theory 2PLM parameter estimation method and genetic algorithm in Detailed exploration, put forward a kind of 2PLM based on genetic algorithm parameter estimation method, and the corresponding algorithm program for different item parameter estimation. On the basis of genetic coding, genetic analysis and reference, proposed to the operators of genetic improvement strategy and algorithm to accelerate the convergence of strategy, wove algorithm verification procedures and foreign popular BILOG software were compared, the results showed that, in a certain range of error, the proposed algorithm can converge to the optimal solution.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

2620-2624

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.2620

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Online since:

September 2013

Authors:

Peng Dong Du, Yan Hua Chu

Keywords:

2PLM, Genetic Algorithm (GA), Item Response Theory

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References

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