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Course scheduling system of iteration based on genetic algorithm

机译:基于遗传算法的迭代课程调度系统

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In recent years, the increasing recruit student scale of colleges and universities causes the rare teaching resources and the course scheduling problem is prominent. Through analysis on the limitation conditions of course scheduling, conclude the basic principle that the resource limitation must meet, the law limitation should meet, demand limitation meets as much as possible. Adopt the decimal encoding mode of three-dimensional piece. Create in batches the initial groups of resource lack, combination of class, many hours of courses, single class. Improve the designing of fitness function. Conduct the iterative genetic optimization. Find the best solution of course scheduling step by step. Finally solve the optimization combination problem of course scheduling. The five actual application result of system shows that improved genetic algorithm improves feasibility of curriculum and solve the problem of lack of teaching resources, and other problems.
机译:近年来,高校招生规模的扩大,造成了教学资源的稀缺,课程安排问题日益突出。通过对课程安排的限制条件的分析,得出资源限制必须满足,法律限制应满足,需求限制尽可能满足的基本原理。采用三维片的十进制编码方式。批量创建缺少资源的初始组,班级组合,多个小时的课程,单个班级。改进健身功能的设计。进行迭代遗传优化。逐步找到课程安排的最佳解决方案。最终解决了课程安排的优化组合问题。该系统的五个实际应用结果表明,改进的遗传算法提高了课程的可行性,解决了教学资源不足等问题。

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