基于改进遗传算法的飞行驾驶舱人机界面布局优化  

Flight Cockpit Human-Machine Interface Layout Optimization Based on Improved Genetic Algorithm

作　　者：张瑞云 邹书蓉[1] ZHANG Ruiyun;ZOU Shurong(School of Computer Science,Chengdu University of Information Technology,Chengdu 610225,China)

机构地区：[1]成都信息工程大学计算机学院,四川成都610225

出　　处：《软件导刊》2025年第4期81-88,共8页Software Guide

基　　金：四川省重大科技专项(2022ZDZX0008)。

摘　　要：合理的界面布局对飞行的安全性、效率等有很大影响,因此有必要对驾驶仪表的布局进行优化。结合飞行驾驶舱设计原则,在标准的遗传算法基础上融合反向学习、切片树策略和最优保存策略提出一种改进的遗传算法(OSG-GA),以提高算法的全局搜索范围,避免容易陷入早熟与收敛速度较慢的问题。通过实验获得一种飞行驾驶仪表的优化布局,验证了该算法的有效性与优越性,对于飞行驾驶舱的界面优化有一定参考价值。Reasonable interface layout has a significant impact on flight safety and efficiency.Therefore,it is necessary to optimize the layout of cockpit instruments.The present paper proposes an enhanced genetic algorithm(OSG-GA)based on the principles of flight cockpit design,incorporating reverse learning,slice tree strategy,and optimal preservation strategy into the standard genetic algorithm.This improvement en‐hances the global search range of the algorithm while mitigating issues related to premature convergence and slow convergence rate.Through experimental validation,an optimized layout for flight instruments is obtained,thereby confirming the effectiveness and superiority of this algo‐rithm.Furthermore,it provides valuable insights for optimizing flight cockpit interface.

关 键 词：人机交互 界面优化 飞机驾驶舱 遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]