航空学报 > 2002, Vol. 23 Issue (4): 330-333

双目标双学科数值优化计算

吁日新, 朱自强   

  1. 北京航空航天大学流体力学研究所 北京 100083
  • 收稿日期:2001-09-27 修回日期:2001-12-10 出版日期:2002-08-25 发布日期:2002-08-25

COMPUTATION OF THE BIOBJECTIVE/BIDISCIPLINARY NUMERICAL OPTIMIZATION

YU Ri-xin, ZHU Zi-qiang   

  1. Institute of Fluid Mechanics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2001-09-27 Revised:2001-12-10 Online:2002-08-25 Published:2002-08-25

摘要:

提出了一种新的适用于双目标优化的适应函数的构造方法。通过分析适应函数的等值线谱,分象限构造出相应的函数。算例选用翼型的气动 /隐身双学科双目标优化,分别采用确定性及遗传两种优化算法,并与通常的线性加权法进行对比。结果表明本方法的良好的适用性和有效性。

关键词: 适应函数, 多目标和多学科优化, 确定性优化算法, 遗传算法

Abstract:

A new type of fitness function suitable to bi-objective optimization problems is suggested. Through analysis of the contours of fitness functions, the fitness function is constructed separately in every quadrant. It is used in the bi-disciplinary/bi-objective numerical optimization of an airfoil's aerodynamic/electromagnetic performances. The optimization is made by using both deterministic and genetic algorithms and the results are compared with those of the common LWO method. The results show that the present method is useful and effective.

Key words: fitness function, multi-objective and multi-disciplinary optimization, deterministic method, genetic algorithm