TY - GEN
T1 - Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator
AU - Watanabe, Takeshi
AU - Tatsukawa, Tomoaki
AU - Jaimes, Antonio Lopez
AU - Aono, Hikaru
AU - Nonomura, Taku
AU - Oyama, Akira
AU - Fujii, Kozo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/16
Y1 - 2014/9/16
N2 - In this paper, an algorithm for many-objective evolutionary computation, which is based on the NSGA-II with the Chebyshev preference relation, is applied to multi-objective design optimization problem of dielectric barrier discharge plasma actuator (DBDPA). The present optimization problem has four design parameters and six objective functions. The main goal of the paper is to extract useful design guidelines to predict control flow behavior based on the DBDPA parameter values using the resulting approximation Pareto set obtained by the optimization.
AB - In this paper, an algorithm for many-objective evolutionary computation, which is based on the NSGA-II with the Chebyshev preference relation, is applied to multi-objective design optimization problem of dielectric barrier discharge plasma actuator (DBDPA). The present optimization problem has four design parameters and six objective functions. The main goal of the paper is to extract useful design guidelines to predict control flow behavior based on the DBDPA parameter values using the resulting approximation Pareto set obtained by the optimization.
UR - http://www.scopus.com/inward/record.url?scp=84908577297&partnerID=8YFLogxK
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U2 - 10.1109/CEC.2014.6900612
DO - 10.1109/CEC.2014.6900612
M3 - Conference contribution
AN - SCOPUS:84908577297
T3 - Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
SP - 2849
EP - 2854
BT - Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Congress on Evolutionary Computation, CEC 2014
Y2 - 6 July 2014 through 11 July 2014
ER -