Transonic wing shape optimization based on evolutionary algorithms

被引：0
|
作者：
Obayashi, S [1 ]
Oyama, A
Nakamura, T
机构：
[1] Tohoku Univ, Dept Aeronaut & Space Engn, Sendai, Miyagi 9808579, Japan
[2] Natl Aerosp Lab, Tokyo 1828522, Japan
来源：
HIGH PERFORMANCE COMPUTING, PROCEEDINGS | 2000年 / 1940卷
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A practical three-dimensional shape optimization for aerodynamic design of a transonic wing has been performed using Evolutionary Algorithms (EAs). Because EAs coupled with aerodynamic function evaluations require enormous computational tune, Numerical Wind Tunnel (NWT) located at National Aerospace Laboratory in Japan has been utilized based on the simple master-slave concept. Parallel processing makes EAs a very promising approach for practical aerodynamic design.
引用
收藏
页码：172 / 181
页数：10
相关论文
共 50 条
  • [1] Aerodynamic optimization of transonic wing design based on evolutionary algorithm
    Oyama, A
    Obayashi, S
    Nakahashi, K
    Nakamura, T
    THIRD INTERNATIONAL CONFERENCE ON NONLINEAR PROBLEMS IN AVIATION AND AEROSPACE, VOLS 1 AND 2, PROCEEDINGS, 2002, : 537 - 546
  • [2] Multidisciplinary Optimization of Transonic Wing Using Evolutionary Algorithm
    Bakar, Abu
    Zhang Ke-Shi
    2013 10TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST), 2013, : 189 - 195
  • [3] Influence of the number and location of design parameters in the aerodynamic shape optimization of a transonic aerofoil and a wing through evolutionary algorithms and support vector machines
    Andres-Perez, Esther
    Gonzalez-Juarez, Daniel
    Martin-Burgos, Mario J.
    Carro-Calvo, Leopoldo
    Salcedo-Sanz, Sancho
    ENGINEERING OPTIMIZATION, 2017, 49 (02) : 181 - 198
  • [4] Evolutionary computation of supersonic wing shape optimization
    Obayashi, S
    Sasaki, D
    Takeguchi, Y
    GECCO-99: PROCEEDINGS OF THE GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 1999, : 1791 - 1791
  • [5] Multidisciplinary design optimization of aircraft wing planform based on evolutionary algorithms
    Obayashi, S
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 3148 - 3153
  • [6] Hierarchical evolutionary algorithms and its application in transonic airfoil optimization in aerodynamics
    Wang, J.-F. (wangjf@nuaa.edu.cn), 1600, Chinese Journal of Aeronautics (16):
  • [7] Multiobjective evolutionary computation for supersonic wing-shape optimization
    Obayashi, S
    Sasaki, D
    Takeguchi, Y
    Hirose, N
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2000, 4 (02) : 182 - 187
  • [8] Distributed evolutionary algorithms in shape optimization of nonlinear structures
    Burczynski, T
    Kus, W
    PARALLEL PROCESSING APPLIED MATHEMATICS, 2002, 2328 : 477 - 484
  • [9] Active Transonic Aerofoil Design Optimization Using Robust Multiobjective Evolutionary Algorithms
    Lee, D. S.
    Periaux, J.
    Onate, E.
    Gonzalez, L. F.
    Qin, N.
    JOURNAL OF AIRCRAFT, 2011, 48 (03): : 1084 - 1094
  • [10] On the Structural Shape Optimization through Variational Methods and Evolutionary Algorithms
    Fraternali, Fernando
    Marino, Andrea
    El Sayed, Tamer
    Della Cioppa, Antonio
    MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, 2011, 18 (04) : 225 - 243
12345