Real-coded genetic algorithm and application in the automatic composing the test paper

Authors:
Wang Yu-Fen;Guo Xiao-Juan
Affiliations:
School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, Henan Province, China;School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, Henan Province, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

The genetic algorithm is one kind of recent development parallel optimization algorithm, it suitable to solve the problem of automatic composing test paper. But binary-coded genetic algorithm has some disadvantages, such as lower operating speed, precocious convergence and so on. For these flaws, based on real-coded genetic algorithm has been put forward, and has been applied in the automatic composing test paper system of the computer basis, its performance is superior to binary-coded genetic algorithm.