Improved Genetic Algorithm to Solve the Scheduling Problem of College English Courses
In this paper, an improved genetic algorithm is designed to solve the above multiobjective optimization problem for the scheduling problem of college English courses. Firstly, a variable-length decimal coding scheme satisfying the same course that can be scheduled at different times, different class...
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Main Author: | Jing Xu |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/7252719 |
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