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A Genetic Algorithm by Using a Matrix Crossover for Determining Classroom Seating Arrangements

机译:使用矩阵交叉来确定教室座位布置的遗传算法

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Classroom seating arrangements are important topics that affect each and every students and teachers. In this study we propose a method for determining the classroom seating arrangements considering relationships between students. In order to determine the optimal classroom seating arrangements, a genetic algorithm is applied on the basis of the questionnaire results and the analysis of the observation of behaviors between students. In the genetic algorithm, we propose a procedure named a matrix crossover. Our optimization problem is to determine the combination of classroom seating arrangements in such a way that the minimum of fitness rates of all students is as large as possible. Based on our proposed classroom seating arrangements, we carried out experiments at a national college of technology in Japan. It is found from the experiments that satisfaction of each student for our proposed method is higher than the traditional one. It is also found from another questionnaire that each student is actually comfortable in the classroom because of the relations between other students. It is confirmed from the experimental results that the proposed method was effective.
机译:教室座位安排是影响每位学生和教师的重要主题。在这项研究中,我们提出了一种确定考虑学生关系的教室座位安排的方法。为了确定最佳的课堂座位布置,基于调查结果和学生之间行为观察的分析来应用遗传算法。在遗传算法中,我们提出了一个名为矩阵交叉的过程。我们的优化问题是确定教室座位安排的组合,使所有学生的健身率尽可能大的情况。根据我们拟议的课堂座位安排,我们在日本国家技术学院进行了实验。从实验中发现,每个学生为我们所提出的方法的满足程度高于传统的实验。由于其他学生之间的关系,每个学生在课堂上的另一个调查问卷中也发现了它。从实验结果证实了所提出的方法有效的实验结果。

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