Research on Intelligent Scheduling Based on Improved Genetic Algorithm

Computer & Telecommunication

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WANG Hai-bo

Nantong College of Science and Technology

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Abstract This paper analyzes the soft constraints and hard constraints of the course scheduling problem, and abstracts the mathematical model for solving the problem of intelligent scheduling. The genetic algorithm is deeply analyzed. In view of the traditional genetic algorithm, the initial population is improved in the aspects of homogenization, fitness function, and mutation operator. The experiment proves that the improved algorithm is completely suitable for intelligent scheduling problem, and it has high efficiency,which provides a new idea for the development of scheduling problem.

Key words： intelligent scheduling genetic algorithm improved genetic algorithm fitness function

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WANG Hai-bo. Research on Intelligent Scheduling Based on Improved Genetic Algorithm. Computer & Telecommunication, 2017, 1(12): 88-91.

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http://www.computertelecom.com.cn/EN/ OR http://www.computertelecom.com.cn/EN/Y2017/V1/I12/88

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