基于改进GA的多机机务准备优化研究  

Multi-aircrafts Preparation Optimization Based on Improved GA

作　　者：王城超 邹强[2] 张天赫[1] 罗亚民[1] 王栋[2] 

机构地区：[1]海军航空工程学院研究生管理大队,山东烟台264001 [2]海军航空工程学院飞行器工程系,山东烟台264001

出　　处：《兵工自动化》2017年第10期57-61,共5页Ordnance Industry Automation

摘　　要：针对军机多机机务准备工作内容繁杂、人员多、不易组织等问题,对多机机务准备进行优化研究。在分析单机保障组机务准备流程的基础上,建立多机机务准备流程数学模型,引入改进GA算法来求解此模型。结合具体实例,分别使用传统GA和改进GA进行仿真计算,仿真得到了机务准备流程的甘特图。仿真结果表明:改进GA算法克服了传统GA运算量大和种群规模过大等困难,能快速收敛,优化了机务准备时间。Aiming at the large number of preparation work, a lot of operators and hard to organization of multi-aircrafts preparation, carry out optimal research on multi-aircrafts preparation. Based on analyze the single aircraft support group preparation process, establish multi-aircrafts preparation process math model, and introduce improved GA algorithm to solve the model. Combined with the example, separately use traditional GA and improved GA to carry out simulation calculation, and acquired the Gantt chart of preparation process. The simulation results show that the improved GA algorithm overcome the problems such as large computation intensity and large size of traditional GA, it can quickly converge and reduce time of aircraft preparation.

关 键 词：军机 多机机务准备 改进GA 优化 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]