基于遗传算法的矿井火灾时期风流优化控制 |
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引用本文: | 钟茂华,陈宝智.基于遗传算法的矿井火灾时期风流优化控制[J].煤炭学报,1998,23(2):161-164. |
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作者姓名: | 钟茂华 陈宝智 |
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作者单位: | 东北大学 |
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基金项目: | 国家“九五”科技攻关资助 |
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摘 要: | 应用遗传算法对矿井火灾时期的风流定量优化控制问题进行求解,克服了传统的通风网络优化控制算法的某些局限性,介绍了GA参数优选的方法。实验表明:GA能以很大的概率找到所求问题的全局最优解。
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关 键 词: | 矿井火灾 优化控制 风流状态 遗传算法 |
OPTIMAL CONTROL OF AIRFLOW IN A MINE FIRE BASED ON GENETIC ALGORITHM |
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Affiliation: | Notheastern University |
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Abstract: | Genetic algorithms (GA) are used to calculate the mathematical model for optimal control of airflow in a mine fire, which eliminates the limitations of the traditional optimization of ventilation network. A method is described for selection of the optimal parameters. The test shows that genetic algorithm can obtain an optimal solution with high probability. |
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Keywords: | mine fire optimal control state of airflow genetic algorithm |
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