TY - JOUR
T1 - Application of Pareto GAs to aerodynamic configuration design
AU - Xia, Lu
AU - Gao, Zheng Hong
AU - Su, Wei
PY - 2007/6
Y1 - 2007/6
N2 - Pareto method is a multi-objective optimization method, by which, the optimum set corresponding to all kinds of the weight assignment can be obtained. Pareto GAs, which combines Pareto method and Genetic Algorithms, is an effective method to generate a set of solutions on a Pareto front. In this paper, two common Pareto GAs, MOGA (Multi-Objective Genetic Algorithm) and Two-Branch Tournament Genetic Algorithm are applied to aerodynamic configuration design. The aerodynamic optimization design is carried out for the two examples and satisfying solutions are achieved.
AB - Pareto method is a multi-objective optimization method, by which, the optimum set corresponding to all kinds of the weight assignment can be obtained. Pareto GAs, which combines Pareto method and Genetic Algorithms, is an effective method to generate a set of solutions on a Pareto front. In this paper, two common Pareto GAs, MOGA (Multi-Objective Genetic Algorithm) and Two-Branch Tournament Genetic Algorithm are applied to aerodynamic configuration design. The aerodynamic optimization design is carried out for the two examples and satisfying solutions are achieved.
KW - Aerodynamic configuration design
KW - Multi-objective genetic algorithm
KW - Pareto genetic algorithms
KW - Two-branch tournament genetic algorithm
UR - http://www.scopus.com/inward/record.url?scp=34547254741&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:34547254741
SN - 0258-1825
VL - 25
SP - 194
EP - 198
JO - Kongqi Donglixue Xuebao/Acta Aerodynamica Sinica
JF - Kongqi Donglixue Xuebao/Acta Aerodynamica Sinica
IS - 2
ER -