Multiobjective wing design using genetic algorithms and fuzzy logic

The designer faces frequently problems in which the project depends on many parameters and the final solution must be evaluated according to several optimisation objectives. This may be the case for the aeroelastic and aeromechanics design of lifting surfaces. The aim of the paper is to show how the combined techniques of genetic algorithms and fuzzy logic can be useful in these situations. The leading idea is the development of a tool to assist the designer in the preliminary phase of his activity by associating a genetic code to every possible solution and assessing its performance by means of a fuzzy controller in order to handle simultaneously different design criteria. Examples are given for some typical problems in aeronautical design.