TY - GEN
T1 - Performance comparison of evolutionary algorithms for airfoil design
AU - Randall, Marcus
AU - Rawlins, Tim
AU - Lewis, Andrew
AU - Kipouros, Timoleon
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Different evolutionary algorithms, by their very nature, will have different search trajectory characteristics. Understanding these particularly for real world problems gives researchers and practitioners valuable insights into potential problem domains for the various algorithms, as well as an understanding for potential hybridisation. In this study, we examine three evolutionary techniques, namely, multi-objective particle swarm optimisation, extremal optimisation and tabu search. A problem that is to design optimal cross sectional areas of airfoils that maximise lift and minimise drag, is used. The comparison analyses actual parameter values, rather than just objective function values and computational costs. It reveals that the three algorithms had distinctive search patterns, and favoured different regions during exploration of the design space.
AB - Different evolutionary algorithms, by their very nature, will have different search trajectory characteristics. Understanding these particularly for real world problems gives researchers and practitioners valuable insights into potential problem domains for the various algorithms, as well as an understanding for potential hybridisation. In this study, we examine three evolutionary techniques, namely, multi-objective particle swarm optimisation, extremal optimisation and tabu search. A problem that is to design optimal cross sectional areas of airfoils that maximise lift and minimise drag, is used. The comparison analyses actual parameter values, rather than just objective function values and computational costs. It reveals that the three algorithms had distinctive search patterns, and favoured different regions during exploration of the design space.
UR - http://www.sciencedirect.com/journal/procedia-computer-science/vol/51/suppl/C
UR - http://www.scopus.com/inward/record.url?scp=84939172116&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2015.05.384
DO - 10.1016/j.procs.2015.05.384
M3 - Conference contribution
VL - 51
T3 - Procedia Computer Science
SP - 2267
EP - 2276
BT - International conference on computational science, ICCS 2015 Computational science at the gates of nature
A2 - Koziel, S
A2 - Leifsson, L
A2 - Lees, M
A2 - Krzhizhanovskaya, VV
A2 - Dongarra, J
A2 - Sloot, PMA
PB - Elsevier
T2 - 15th Annual International Conference on Computational Science (ICCS)
Y2 - 1 June 2015 through 3 June 2015
ER -