检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]空军工程大学装备管理与安全工程学院,陕西西安710051
出 处:《计算机仿真》2015年第10期97-102,共6页Computer Simulation
摘 要:针对多机飞行准备保障工作,为使飞机经常保持和及时恢复良好状态,并符合具体飞行任务的组织和技术要求,利用Extendsim专业软件对多机飞行前机务准备流程进行建模,利用蜂群算法的全局优化能力和响应曲面方法拟合能力强的优点,提出了RSM-ABC仿真优化方法,有效地解决了传统仿真优化方法中时间长、效率低、仿真交互性差、输入与输出变量表达困难等问题,提高了算法的效率和精度。最终得到的机务保障资源优化配置结果表明,改进的仿真优化方法,改善了仿真交互性和提高机务保障资源的效率。The multi -machine maintenance preparation is organizational and technical work that often maintains or restores the aricraft to keep on a good condition and meet the specific requirements mission. The multi - machine maintenance preparation process simulation system model was established in this paper through Extensim, the profes- sional simulation software platform. The advantages of artificial bee algorithm that has strong ability of the global opti- mization and response surface methodology that own better fiting ability were used to propose a simulation optimization method of RSM - ABC which effectively solved the long simulation time, low efficiency, poor interaction, the iniput and the output difficlt expression, also improved the accuracy of algorithm. Finally, the optimal allocation of maintenance support resources was obtained, and the results show that the simulation optimization method can improve the simulation of interaction and the efficiency of support resources.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.117