【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。更多还原

【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.更多还原