改进遗传算法的液压锚杆钻机冲击机构的优化设计  

Optimal design of impact machine for hydraulic roofbolter based on improved genetic algorithm

作　　者：刘道华[1,2] 冯岩[1] 原思聪[2] 王瑞[3] 

机构地区：[1]信阳师范学院计算机与信息技术学院,河南信阳464000 [2]西安建筑科技大学机电学院,陕西西安710055 [3]西安建筑科技大学信控学院,陕西西安710055

出　　处：《西安建筑科技大学学报（自然科学版）》2009年第1期121-125,共5页Journal of Xi'an University of Architecture & Technology(Natural Science Edition)

基　　金：陕西省自然科学基金资助项目(2007E218);河南省教育厅自然科学研究资助项目(2008B520030);信阳师范学院青年基金资助项目(20070204);信阳师范学院青年骨干教师计划资助项目(20070306)

摘　　要：改进了遗传算法的适应度、交叉算子及变异算子,即依据统计规律求概率适应度;对交叉算子的改进,将在随机配对交叉基础上引入人工干预思想;在处理变异算子时引入了人工诱变的思想.采用这种改进的遗传算法优化液压锚杆钻机冲击结构的设计参数.通过优化设计计算结果表明,该改进方法在钻机其他结构理想设计的情况下能使钻机的工作效率从70.8%提高到75.6%,同时这种改进遗传算法也为钻机的其他结构优化设计提供了一种很好的优化方法.The genetic algorithm is improved from three aspects, namely, solving the probability fitness value based on the statistical rule; introducing the manual intervening thought in the random crossover foundation for the improved crossover operator; and the artificial mutation method for the mutation operator. The improved genetic algorithm is adopted to optimize the impacting machine for hydraulic roofboher. The optimization result indicates that the improved method can help increase the efficiency of roofbolter from 70. 82 % to 75.6% when other structure design is in the ideal circumstances. The improved optimization method is also an efficient method to optimize other structure parameter for the hydraulic roofbolter.

关 键 词：改进的遗传算法 锚杆钻机 冲击机构 优化设计 

分 类 号：TP202.7[自动化与计算机技术—检测技术与自动化装置]