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Test-Sheet Composition Using Analytic Hierarchy Process and Hybrid Metaheuristic Algorithm TS/BBO

机译：使用层次分析法和混合元启发式算法TS / BBO的测试页组成

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摘要

Due to the shortcomings in the traditional methods which dissatisfy the examination requirements in composing test sheet, a new method based on tabu search (TS) and biogeography-based optimization (BBO) is proposed. Firstly, according to the requirements of the test-sheet composition such as the total score, test time, chapter score, knowledge point score, question type score, cognitive level score, difficulty degree, and discrimination degree, a multi constrained multiobjective model of test-sheet composition is constructed. Secondly, analytic hierarchy process (AHP) is used to work out the weights of all the test objectives, and then the multiobjective model is turned into the single objective model by the linear weighted sum. Finally, an improved biogeography-based optimization-TS/BBO is proposed to solve test-sheet composition problem. To prove the performance of TS/BBO, TS/BBO is compared with BBO and other population-based optimization methods such as ACO, DE, ES, GA, PBIL, PSO, and SGA. The experiment illustrates that the proposed approach can effectively improve composition speed and success rate.
机译：针对传统方法无法满足试卷编写要求的不足，提出了一种基于禁忌搜索（TS）和基于生物地理学的优化方法（BBO）的新方法。首先，根据试卷组成的要求，如总分，测试时间，章节分数，知识点分数，问题类型分数，认知水平分数，难易度和歧视度，建立多约束多目标测试模型-页组成被构造。其次，采用层次分析法（AHP）求出所有测试目标的权重，然后通过线性加权总和将多目标模型转化为单目标模型。最后，提出了一种改进的基于生物地理的优化TS / BBO，以解决试纸的组成问题。为了证明TS / BBO的性能，将TS / BBO与BBO以及其他基于群体的优化方法（如ACO，DE，ES，GA，PBIL，PSO和SGA）进行了比较。实验表明，该方法可以有效提高写作速度和成功率。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第10期|712752.1-712752.22|共22页
  • 作者

    Hong Duan; Wei Zhao; Gaige Wang; Xuehua Feng;

  • 作者单位

    School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China;

    School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China;

    Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China,Graduate School of Chinese Academy of Sciences, Beijing 100039, China;

    School of Electronic and Information Engineering, Yili Normal University, Yining, Xinjiang 835000, China;

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