摘要
为了提高民航宽体货机装载效率、节省燃油,以货机装载重心最优为目标函数,基于现实约束设计以重心约束、重量约束、结构约束等为约束条件的混合整数规划模型,并应用遗传算法求解。以B747-400装载为例进行仿真,仿真结果表明,算法能够在2 s内求得最优解,验证了模型的实用性和算法的有效性,为航空公司配载工作提供了理论参考。
In order to improve the loading efficiency and fuel saving of wide cargo aircraft,a mixed integer programming model with constraint of center of gravity,weight constraint and structure constraint is designed based on the optimal objective function of cargo loading center of gravity and the genetic algorithm. Taking B747-400 load as an example,the simulation results show that the algorithm can find the optimal solution within 2 s,validate the practicability of the model and the effectiveness of the algorithm,and provide a theoretical reference for airlines to carry out the loading work.
出处
《航空计算技术》
2018年第1期13-16,共4页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(U1533116
U1633125)
民航安全能力建设基金项目资助
中央高校基本科研业务费项目资助(3122017067
3122014D042
TMSA1617)
关键词
宽体货机
重心偏离量
遗传算法
混合整数规划模型
wide cargo aircraft
center of gravity deviation
genetic algorithm
mixed integer programming model
