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首页> 外文会议>International conference on computer and network technology >The Design and Implementation of Genetic Algorithm with Directed Mutation in Intelligent Generating Test Paper System
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The Design and Implementation of Genetic Algorithm with Directed Mutation in Intelligent Generating Test Paper System

机译：智能试卷系统中定向变异遗传算法的设计与实现。

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In order to solve the problems of genetic algorithm in intelligent generating test paper system, such as slow generating speed, low success probability, and local optimum and so on, this paper presents genetic algorithms with directed mutation which leads mutation to a given direction. Directed mutation retains the advantages of mutation operator, avoids breaching the positive characteristics of individual, makes genetic algorithm attain better performance, and improves the efficiency and quality of intelligent generating test paper system. Experimental results show that intelligent generating test paper system using genetic algorithm with directed mutation not only has the advantages of global optimization and good convergence, but also enhances the speed of intelligent generating test paper and the quality of the paper.
机译：为了解决智能发电试验纸系统中遗传算法的问题，如缓慢的发电速度，低成功概率和局部最佳等等，本文介绍了具有定向突变的遗传算法，其引发了给定方向的突变。定向突变保留了突变算子的优点，避免违反个体的阳性特性，使遗传算法实现更好的性能，并提高智能发电测试纸系统的效率和质量。实验结果表明，智能生成试验纸系统采用定向突变的遗传算法不仅具有全球优化和良好收敛性的优点，而且还提高了智能发电试验纸的速度和纸张的质量。

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