计算机科学 ›› 2017, Vol. 44 ›› Issue (Z6): 105-108.doi: 10.11896/j.issn.1002-137X.2017.6A.022
李浩君,杜兆宏,邱飞岳
LI Hao-jun, DU Zhao-hong and QIU Fei-yue
摘要： 智能算法应用到教学领域来实现自动分组具有重要意义。针对网络学习环境下任务驱动教学中如何按最优分组方案进行小组划分的问题,综合考虑了分组问题中学习者之间的特征差异和任务难易程度等影响因素,构建了基于任务驱动分组优化问题的数学模型,提出了基于混合遗传算法的任务驱动分组优化策略。在MATLAB7.0平台上,运用混合遗传算法对任务驱动的分组优化进行了仿真实验。实验结果表明,基于混合遗传算法的任务驱动分组优化是可行且有效的。
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