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Research on System of Intelligent Test Paper Composition Based on Genetic Simulated Annealing Algorithm

Author: YuYanDong
Tutor: LiuTieYing；LiangZheng
School: Inner Mongolia University
Course: Computer technology
Keywords: Simulated annealing algorithm Genetic Algorithms Genetic Simulated Annealing Algorithm Intelligent Test Paper
CLC: TP399-C1
Type: Master's thesis
Year: 2011
Downloads: 72
Quote: 0
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Abstract


The exam is an important part of the teaching process, topic, tissue papers are the key factors that determine the success or failure of the exam. With the increasing popularity of the computer in the field of teaching, the use of computer technology for intelligent topics, test paper demand more and more urgent. Intelligent test paper automatically by a computer according to certain requirements, select the questions from the test database composed to meet the specific score, question kinds of questions, number of questions, knowledge, difficulty constraints required papers. Intelligent Test Paper depends entirely on the efficiency and quality of the test database design and pumping title algorithm design. Intelligent Test Paper requires that the resulting papers to the greatest extent possible to meet the different needs of users, so how to design an algorithm fast and good out of a group that best meet the requirements of the examination of the questions from the test database, has become a key. In this paper, based on analysis of a large number of domestic and foreign literature, the smart Algorithmic depth, systematic study of the traditional method of test paper are based on a single algorithm for generating test paper, such as random questions, backtracking heuristics, genetic algorithm and simulated annealing algorithm, although they eventually can group out of the papers, but there are shortcomings. Comprehensive features and shortcomings of the existing algorithms based hybrid intelligent algorithm to study the genetic simulated annealing algorithm on the Intelligent Test Paper. Test paper is better than other algorithms in order to arrive at the genetic simulated annealing algorithm, this paper also concrete realization of a Paper System. The system using a random algorithm, simulated annealing, genetic algorithms and genetic simulated annealing algorithm for test paper, the group papers were analyzed and compared in the same evaluation function and the same exam. The comparison results show that this method of test paper success rate and convergence rate has been markedly improved, and to overcome the premature convergence, as long as the moderate number of questions in the test database, complete question types, distribution is reasonable, the algorithm the papers will be able to meet the needs of users indicators. The system uses the the Delphi 7.0 development foreground application using Microsoft SQL Server 2000 for the back-end database development tools. This system is a modular design concept developed exam management system, including user management, the main function of the item entry and maintenance, test paper.

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