The Design Of Intelligent Generating Test Paper System Based On Genetic Algorithm

In recent years, intelligent optimization algorithm has beenpaid more and more attention.Such as artificial neural networks,genetic algorithm.All of these provide a new method to solve complexproblems and success in many fields.Auto-generating examinnationpaper is a multi-object optimization problem in certain constraintconditions.Traditional algorithms of composing test paper have thedisadvantages of slow convergence,low success rate and quality.This paper describes the status of research on genetic algorithm,then describes the development related technologies of J2EE. On thestudy of genetic algorithms theory and related operating basis, Iconducted a needs analysis of the system and the overall design andgive the logical and physical design of the database, use theStructs+Hibernate framework,give the intelligent test paperprocess based on the genetic algorithms and the corresponding code,take “data structure” course as an example and analyze for thepapers. This paper mainly does the following work:(1) Review auto-matic test paper problem, mainly include theresearch background and status of auto-matic test paper.Analysisand compare the existing algorithms.(2) Research on the principle,operational processes and the keytechnologies in steps of genetic algorithms.(3) On the basis of the system requirements analysis, overalldesign and database design, use genetic algorithms to developed arelatively complete computer intelligent grouping system.(4) Carry out a detailed analysis on the papers and come to the conclusion that the system can form effective intelligent testpaper.Finally, summary the research work and prospect the futurework.