CHANDRASHEKARAPPA , Praveen

Modern optimization methods like Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been found to be very robust and general for solving engineering design problems. They require the use of large population size and may suffer from slow convergence. Both of these lead to large number of function evaluations which can...

Modern optimization methods like Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been found to be very robust and general for solving engineering design problems. They require the use of large population size and may suffer from slow convergence. Both of these lead to large number of function evaluations which can...

Population-based optimization methods like genetic algorithms and particle swarm optimization are very general and robust but can be costly since they require large number of function evaluations. The costly function evaluations can be replaced by cheaper models which are refered to as surrogate or meta models. Here we consider data-fitting...

Optimization of wing shapes for aerodynamic performance is presented using a combination of particle swarm method and surrogate models. The wing shape deformations are parameterized using free form deformation together with wing twist. The developed strategy is applied to the lift-constrained drag minimization of Onera M6 wing.

The objective of this chapter is to present, analyze and compare some practical methods that could be used in engineering to quantify uncertainty, for mechanical systems governed by partial differential equations. Most applications refer to aerodynamics, but the methods described in this chapter can be applied easily to other disciplines, such...

National audience

It can be easily understood that carrying out a complete optimization (whether multidisciplinary or not) with a highly refined model can rapidly lead to prohibitive computing costs. Conversely, if a relatively coarse model is used, an optimum can still be obtained, but with little confidence in the results. Thus, it appears to necessary to be...