The complexity of optimum-solution schedule arrangement algorithm has almost been exponent degree of schedule scale.

一直以来，最优解的排课算法的时间复杂度大多是排课规模的指数阶。

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And the paper has conducted more thorough research by using the mixed intelligent algorithm to the university class schedule application, the test paper grouping and the test time arrangement.

并利用混合智能算法对高校排课时间表问题、考试组卷问题与考试时间安排问题进行了较为深入的研究。

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And the paper has conducted more thorough research by using the mixed intelligent algorithm to the university class schedule application, the test paper grouping and the test time arrangement.

并利用混合智能算法对高校排课时间表问题、考试组卷问题与考试时间安排问题进行了较为深入的研究。

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