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ASME Press Select Proceedings

International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3

By
Yi Xie
Yi Xie
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ISBN:
9780791859810
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011

The course-schedule problem is a multi-objective optimization problem, the global near-optimal solution couldn't be obtained by only using the direct heuristic algorithm, and the constringency would be slow by only using the standard genetic algorithm. So a hybrid genetic algorithm (abbreviated to HGA) which combined the direct heuristic algorithm with the standard genetic algorithm is put forward. By using a new simple intuitive two-dimensional space-time array encoding and a new block crossover operator, HGA only have little course-unit conflicts after crossing and mutating, and the conflict is easy to digest. The experiments show that the global near-optimal solution can be obtained quickly by using HGA.

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