Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 105-108.doi: 10.11896/j.issn.1002-137X.2017.6A.022

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Optimized Research for Task-driven Grouping Based on Hybrid Genetic Algorithm

LI Hao-jun, DU Zhao-hong and QIU Fei-yue   

  • Online:2017-12-01 Published:2018-12-01

Abstract: Intelligent algorithm that applies to the education field to realize automatic grouping has great significance.In the task-driven teaching under the network learning environment for how to group divided according to the optimal grouping scheme,the factors of the characteristic differences between learners and the degree of task difficulty were considered,a mathematical model based on task-driven grouping optimization problem was built,the strategy of task-driven grouping optimization based on hybrid genetic algorithm was proposed.We had done an simulation experiment by using hybrid genetic algorithm on MATLAB7.0 platform.Experimental results show that the optimization of task-dri-ving grouping based on hybrid genetic algorithm is feasible and effective.

Key words: Collaborative learning group,Task-driven,Grouping optimization model,Hybrid genetic algorithm

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