| 基于遗传算法的通风网络两步法风流调节优化算法 |
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| 引用本文： | 厍向阳,常新坦,孙艺珍.基于遗传算法的通风网络两步法风流调节优化算法[J].中南大学学报(自然科学版),2011(9). |
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| 作者姓名： | 厍向阳 常新坦 孙艺珍 |
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| 作者单位： | 西安科技大学计算机科学与技术学院;西安科技大学西部矿井开采及灾害防治教育部重点实验室; |
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| 基金项目： | 陕西省自然科学基金资助项目(2009JM7007); 陕西省教育厅专项科研计划项目(08JK354) |
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| 摘 要： | 概括混合型通风网络优化模型,归纳混合型通风网络风量最优分配和风流最优调控两步法优化基本框架。首先,在满足矿井通风风量需求的基础上,实现风量分配优化。然后,结合矿井通风网络实际调风需求,引入遗传算法随机产生动态网络的邻接矩阵,使用附有条件的最小支撑树算法求解部分余树弦(调风地点)约束下的最小支撑树和独立回路矩阵,根据回路矩阵计算通风网络余树弦风阻调节值,在通风总功率和约束条件基础上构建广义最小化目标函数,依此对调节方案进行评价,使用遗传算法中的进化算子对调节方案编码实施进化操作,最后通过迭代得到满意解。研究结果表明:两步法思想简化混合型通风网络优化问题,解决调风地点约束的通风网络优化问题,执行效率高,能够解决较大规模的通风网络优化问题。
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| 关 键 词： | 通风网络优化 遗传算法 两步法 最优化理论 |
Optimization algorithm adjusting ventilation flow about min ventilation networks based on two step way and genetic algorithm |
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| SHE Xiang-yang,CHANG Xin-tan,SUN Yi-zhen.Optimization algorithm adjusting ventilation flow about min ventilation networks based on two step way and genetic algorithm[J].Journal of Central South University:Science and Technology,2011(9). |
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| Authors: | SHE Xiang-yang CHANG Xin-tan SUN Yi-zhen |
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| Institution: | SHE Xiang-yang1,2,CHANG Xin-tan2,SUN Yi-zhen1 (1.College of Computer Science and Technology,Xi' an University of Science and Technology,Xi'an 710054,China,2.Key Laboratory of Western Mine Exploitation and Hazard Prevention,China) |
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| Abstract: | The model of mixing ventilation networks optimization was generalized,and the basic frame of two step way on mixing ventilation networks optimization was summed up.Firstly,the ventilation volume distribution optimization of min ventilation networks was carried out in the condition of mine ventilation volume demand,and then the adjacency matrix of dynamic networks was initialized on random according to genetic algorithm thought,in accordance with the demand of mine adjusting ventilation,the minimum spanning ... |
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| Keywords: | ventilation networks optimization genetic algorithm two steps way optimization theory |
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