摘要
本文利用遗传算法实现了雷达吸波涂层的多目标优化设计。首先对目标函数进行合理设计,同时基于Pare-to最优概念,采用非劣分层遗传算法(NSGA)进行多目标优化。对具体实例的优化结果表明,该方法利用共享函数和小生境技术,可以使优化结果均匀的收敛于Pareto域附近。同传统优化方法相比,该方法物理意义明确,对决策者来说更具科学性、针对性和实用价值。
Multi-objective optimization of radar absorbing coating was designed using the genetic algorithm in this paper. Based on reasonable design for objective functions and the concept of Pareto optimality, multi-objective optimization was investigated. The optimization results show that the algorithm （NSGA） uses sharing and Niche technology and the results can dividedly converge at the Pareto front. Compared with conventional methods, this algorithm with clear physical meaning is more scientific and has extensive pertinence for the decision-makers.
出处
《航空材料学报》
EI
CAS
CSCD
2007年第3期82-86,共5页
Journal of Aeronautical Materials
