Research on Time Table Problem Based on Improved Genetic Algorithm Combined Chaos and Simulated Annealing Algorithm

Dong Yunfeng

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Research on Time Table Problem Based on Improved Genetic Algorithm Combined Chaos and Simulated Annealing Algorithm

机译：基于改进遗传算法的混沌与模拟退火算法相结合的时间表问题研究

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摘要

The scheduling problem is a typical time table problem in educational administration. For such a NP complete problems, when the genetic algorithm solves this problem, it has precociousness phenomenon and quickly converges not to the global optimal solutio

机译：调度问题是教育管理中典型的时间表问题。对于这样的NP完全问题，当遗传算法解决该问题时，就会出现早熟现象，并迅速收敛到全局最优解。

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《Journal of Applied Sciences》 |2013年第15期|共6页
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Dong Yunfeng;
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中图分类农业科学;
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入库时间 2022-08-18 16:06:56

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7. Research on Time Table Problem Based on Improved Genetic Algorithm Combined Chaos and Simulated Annealing Algorithm [O] . Dong Yunfeng 2013

机译：基于改进的遗传算法组合混沌和模拟退火算法的时间表问题研究

Research on Time Table Problem Based on Improved Genetic Algorithm Combined Chaos and Simulated Annealing Algorithm

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