The designer frequently faces problems in which the project depends on many parameters and the final solution must be evaluated according to several optimization objectives. This may be the case for the aeroelastic and aeromechanical design of lifting surfaces. The aim of the present paper is to show how the combined techniques of genetic algorithms (GAs) 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 activity by assigning 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.
Multiobjective wing design using genetic algorithms and fuzzy logic
01.02.2004
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Multiobjective wing design using genetic algorithms and fuzzy logic
Online Contents | 2004
|A Multiobjective Approach to Transonic Wing Design by Means of Genetic Algorithms
British Library Conference Proceedings | 2000
|