Optimization of a supersonic airfoil using the multi-objective alliance algorithm
Valerio Lattarulo, Pranay Seshadri, Geoffrey Thomas Parks · 2013
A baseline NACA0012 two-dimensional (2D) airfoil is optimized for supersonic flight conditions using a recently introduced optimization algorithm: the multi-objective alliance algorithm (MOAA). The efficacy of the algorithm is demonstrated through comparisons with NSGA-II for 300, 600 and 1000 function evaluations. Through epsilon/hypervolume indicators and the Mann-Whitney statistical test, we show that MOAA outperforms NSGA-II on this problem.