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Course scheduling system design and implementation based on genetic algorithm

Authors: null Hou Ming; null Chen Qi;

Course scheduling system design and implementation based on genetic algorithm

Abstract

his paper in-depth understands and analyzes the history and current status of the course scheduling at home and abroad, designs a course scheduling system based on genetic algorithms according to the reality needs in the current higher education reform. This algorithm carries out improvement based on the traditional genetic algorithm, can effectively solve the design problems of university course scheduling system algorithm. The experimental results show that this system can well meet the actual needs of current colleges, thus having a certain theoretical meaning and better practical application value.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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