Aiming at the deficiencies in the commonly used arranging algorithms, this paper analyzes that the single arranging algorithm based on genetic algorithm has many problems, such as influencing the curricular factors, difficult to carry out optimal combination and low arranging efficiency, etc. The niche technology is introduced to make niche. The combination of technology and genetic algorithm to construct a hybrid genetic algorithm to improve the deficiencies of the single genetic algorithm in solving the problem of class scheduling, and a complex process is decomposed into two stages to ensure the rationality and improvement of the arranging results. The efficiency of automatic class scheduling is conducive to the manual adjustment of later courses.

Yazi Wang, Aijv Lei. Design and Research of Course Arranging System Based on Niche Improved Genetic Algorithm.  International Journal of New Developments in Engineering and Society (2018) Vol.2, Num.1: 34-38.

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