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