Jacques Périaux

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A multiobjective multidisciplinary design optimization (MDO) of two-dimensional airfoil is presented. In this paper, an approximation for the Pareto set of optimal solutions is obtained by using a genetic algorithm (GA). The rst objective function is the drag coeecient. As a constraint, it is required that the lift coeecient is above a given value. The CFD(More)
project approach in which the students are anxious to read the material because they have a project due. In contrast, this book appears more like a transcription of lecture notes in which there is a formal presentation of the material constituting the majority of the chapter, followed by some problems and codes for students to work.on. (The codes presented(More)
Evolutionary Algorithms are often presented as general purpose search methods. Yet, we also know that no search method is better than another over all possible problems and that in fact there is often a good deal of problem speciic information involved in the choice of problem representation and search operators. In this paper we explore some very general(More)
A multiobjective multidisciplinary design optimization (MDO) of two-dimensional air-foil designs is presented. In multiobjective problems, one interest is to nd the set of Pareto optimal solutions. In this paper, an approximation for the Pareto set is obtained by using a genetic algorithm (GA). Since GAs are naturally parallel, it is convenient to use(More)
project approach in which the students are anxious to read the material because they have a project due. In contrast, this book appears more like a transcription of lecture notes in which there is a formal presentation of the material constituting the majority of the chapter, followed by some problems and codes for students to work.on. (The codes presented(More)
project approach in which the students are anxious to read the material because they have a project due. In contrast, this book appears more like a transcription of lecture notes in which there is a formal presentation of the material constituting the majority of the chapter, followed by some problems and codes for students to work.on. (The codes presented(More)