Optimization of a supersonic airfoil using the multi-objective alliance algorithm

Authors:
Valerio Lattarulo;Pranay Seshadri;Geoffrey T. Parks
Affiliations:
University of Cambridge, Cambridge, United Kingdom;University of Cambridge, Cambridge, United Kingdom;University of Cambridge, Cambridge, United Kingdom
Venue:
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Year:
2013

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Abstract

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.