摘要
针对印刷图文信息处理专业在期刊数字化的实践过程,提出了一种自适应的实践任务分配方法,并改进遗传算法中基于排序的适应度方法,建立了任务分配优化模型,实现全局最优。实验结果表明,采用遗传算法进行项目分组实践可以使得整体制作效果获得较佳的状态,且优于同类其他方法。
According to the experiment analysis of the printing graphic -text information processing practice course , an adap-tive task assignment method for the practical course is proposed.To achieve the global optimum,the optimization model for the task assignment is built by improving the fitness method based on sort in genetic algorithm .The experiment results show that the task assignment with improved genetic algorithm can obtain a better level for the whole teaching effect and superior to other methods .
出处
《安庆师范学院学报（自然科学版）》
2013年第4期66-68,共3页
Journal of Anqing Teachers College(Natural Science Edition)
基金
安徽省教育厅自然科学基金项目(KJ2010B079)资助
关键词
自适应
遗传算法
任务分配
项目教学
adaptive
genetic algorithm
project teaching
teaching effect
