摘要
提出一种改进的多目标粒子群优化算法,应用于飞机环控/发动机系统的综合优化.将不同飞行阶段系统总熵产最小视为不同的目标函数,建立了多目标优化模型.进而在基本多目标粒子群优化算法基础上,引入跳转操作、族群概念和一种全局最优位置分配方法,提出了一种改进算法,测试结果表明该算法性能良好.采用该算法对多目标优化模型进行计算,得到收敛且分布均匀的非劣最优解集,为飞机系统综合优化提供一种新思路.
An improved multi-objective particle swarm optimization algorithm is proposed and applied to the integrated optimization of environmental control system and engine of aircraft.A multi-objective optimization model is established by viewing the total entropy generation minimum at different flight phases as different objectives.Based on the basic multi-objective particle swarm optimization algorithm,an improved algorithm is proposed through a jump and cluster operation,and a new global optimal position distribution method.The simulation results show the good performance of the algorithm.The proposed algorithm is used to compute the multi-objective optimization model,the obtained pareto optimal set has good convergence and diversity. It provide a new way for integrated optimization of aircraft systems.
出处
《应用科学学报》
EI
CAS
CSCD
北大核心
2011年第4期435-440,共6页
Journal of Applied Sciences
基金
航空科学基金(No.2008ZC01006)资助
关键词
多目标优化
环控系统
发动机系统
粒子群优化
非劣最优解集
multi-objective optimization
environmental control system
engine system
particle swarm optimization
pareto optimal set
