Aerodynamic shape optimization of rotary wing aircraft components using an advanced multiobjective evolutionary approach

Claudio Comis da Ronco (1)

1 Computational Aerodynamics

In the framework of my Ph.D. course, I developed a novel Multi-objective Evolutionary Algorithm (MOEA), namely the GeDEA-II, which features a Simplex-based crossover operator. The comparison among GeDEA-II and three modern elitist methods, on state-of-the-art multi-objective problems, clearly indicates that the performance of GeDEA-II is superior. Finally, a test case is presented, regarding the aerodynamic shape optimization of the AgustaWestland 101 helicopter left air intake.

Mots clés: evolutionary algorithms; simplex Crossover; shrink mutation; multi objective optimization; aerodynamic shape optimization

Domaines: Analyse numérique [math.NA]; Mécanique [physics]; Sciences de l'ingénieur [physics]

Claudio Comis da Ronco. Aerodynamic shape optimization of rotary wing aircraft components using an advanced multiobjective evolutionary approach. 2nd ECCOMAS Young Investigators Conference (YIC 2013), Sep 2013, Bordeaux, France. ⟨hal-00855849⟩