| 基于自适应遗传算法的矿山设备系统优化 |
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| 引用本文： | 张永玺,魏镜弢,杨琛.基于自适应遗传算法的矿山设备系统优化[J].淮南工业学院学报,2010(2):29-32. |
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| 作者姓名： | 张永玺 魏镜弢 杨琛 |
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| 作者单位： | 昆明理工大学机电工程学院,云南昆明650093 |
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| 基金项目： | 大屯锡矿先进矿山装备技术研究资助项目（20090040） |
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| 摘 要： | 提出了基于自适应遗传算法的矿山装备系统优化算法模型,采用多参数级联符号编码,其变异率和交叉率可根据群体适应度自调整而具有更好的收敛效果和全局搜索能力。根据矿山设备系统的实际特点,对算法模型中的交叉率和变异率等关键算子和操作步骤作了较详细叙述。理论上分析了自适应遗传算法在解决此类问题上的可行性。矿山生产企业根据矿山设备系统优化模型的自适应遗传运算结果,优化设备系统,可以达到提高矿山投入产出比,有效提高矿山产能的目的。
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| 关 键 词： | 自适应遗传算法 系统优化 矿山设备 优化模型 |
Mine Equipment System Optimization Based on Adaptive Genetic Algorithm |
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| ZHANG Yong-xi,WEI Jing-tao,YANG Chen.Mine Equipment System Optimization Based on Adaptive Genetic Algorithm[J].Journal of Huainan Institute of Technology(Natural Science),2010(2):29-32. |
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| Authors: | ZHANG Yong-xi WEI Jing-tao YANG Chen |
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| Affiliation: | (Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming Yunnan 650093,China) |
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| Abstract: | The algorithm model for mine equipment system optimization was proposed on the basis of adaptive genetic algorithm.Multi-parameter cascade symbolic coding,mutation rate and cross rate are adopted.According to group fitness,mutation rate and cross rate with self-adjusting have a better convergence result and global searching ability.The key operators of mutation rate,cross rate etc. in the algorithm model,and its operation steps were explained detailedly.Feasibility of the adaptive genetic algorithm in solving such issues was theoretically analyzed.Mine enterprises can optimize equipment system based on the results of adaptive genetic operation.As a result,the input-output ratio and the mine productivity can be improved effectively. |
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| Keywords: | adaptive genetic algorithm system optimization mine equipment optimization model |
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