Utyuzhnikov, S. V.Maginot, J.Guenov, Marin D.2011-11-132011-11-132006-09-01S. V. Utyuzhnikov, J. Maginot, M. D. Guenov. Local pareto analyser for preliminary design. Proceedings of 25th International Council of the Aeronautical Sciences, 3-8 September, 2006, Hamburg, Germany.http://dspace.lib.cranfield.ac.uk/handle/1826/2629In the design process of complex systems, the designer has to solve an optimisation problem, which involves coupled disciplines and where all design criteria have to be optimised (traded-off) simultaneously. This problem is known as vector optimisation. Many numerical methods exist for obtaining solutions but in general, the solution is not unique. In such a case, the solution set is represented by a Pareto surface in the space of the objective functions. Regarding industrial applications, the multi-disciplinary optimisation problem is usually very time-consuming and the Pareto set rarely can be described analytically. The description of a Pareto surface is often reduced to a set of points lying onto the surface. Therefore, in the real design the set of Pareto solution is never exhaustively explored. Once a Pareto point is obtained, it may be very useful for the decision-maker to be able to perform a quick local approximation in order to obtain other approximate optimal solutions. In this paper, a local Pareto analyser is proposed. This concept is based on a local sensitivity analysis, which provides the relation between variations of the different objective functions under constraints. A method for obtaining a linear and quadratic local approximation of the Pareto surface is then derived. Application of the local Pareto analyser concept is demonstrated through the study of a few test cases.Pareto surfaceApproximationMulti-criteria optimizationTrade-off analysisConference paper