Intelligent test paper method based on genetic particle swarm optimization algorithm

A particle swarm algorithm and population technology, applied in the direction of genetic rules, calculations, genetic models, etc., can solve the problems of long test-taking time, large randomness and uncertainty, difficulty in meeting the actual needs of test-taking, etc.

Active Publication Date: 2016-04-06
TSINGHUA UNIV
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Although these methods can be used to achieve automatic examination paper formation to a certain extent, examination paper formation is a multi-objective optimization problem. Some of these methods are relatively simple; The actual ne

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  • Intelligent test paper method based on genetic particle swarm optimization algorithm
  • Intelligent test paper method based on genetic particle swarm optimization algorithm
  • Intelligent test paper method based on genetic particle swarm optimization algorithm

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[0051] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0052] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0053] Such as figure 1 As shown, according to an embodiment of the present invention based on the genetic particle swarm optimization intelligent test paper method, including:

[0054] S1, generating an obj...

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Abstract

The invention relates to an intelligent test paper method based on a genetic particle swarm optimization algorithm, comprising: generating the objective function corresponding to each constraint condition according to the constraint condition corresponding to test paper attribute information, and calculating the fitness function of test paper according to the objective function corresponding to each constraint condition; obtaining test questions from an item bank to form a plurality of pieces of test paper, and performing chromosome coding on each piece of test paper, wherein each piece of test paper corresponds to a chromosome, the chromosome includes a plurality of segments, each segment of chromosome corresponds to a type of test questions, and includes a plurality of genes, and each gene corresponds to a test question; obtaining an initial population through a particle swarm algorithm; and processing the initial population through a genetic algorithm to obtain a new population to output test paper therein. According to the technical scheme, the method employs test paper attribute information as constraint conditions to generate a fitness function, and performs particle swarm algorithm and genetic algorithm treatment on test paper according to the fitness function, thereby obtaining test paper meeting user needs.

Description

technical field [0001] The present invention relates to the technical field of intelligent examination papers, in particular to an intelligent examination paper formation method based on genetic particle swarm algorithm. Background technique [0002] Traditional paper assembly operations are almost entirely done manually, or semi-manually. Manual test paper composition is costly and has a high error rate, which is prone to omissions and unavoidable human factors, which often lead to unscientific and reasonable test paper composition. Although semi-manual examination paper composition partially reduces the workload of staff, key technical tasks such as selection and arrangement of test questions must still be completed manually, so there are still limitations and deficiencies such as low efficiency. [0003] In recent years, some scientific research institutions at home and abroad have developed some intelligent automatic paper composition systems. The methods used mainly in...

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Application Information

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IPC IPC(8): G06N3/12G06Q50/20
CPCG06N3/126G06Q50/20
Inventor 李超邢春晓张勇胡镇峰常少英
Owner TSINGHUA UNIV
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