Wing design using real-coded adaptive range genetic algorithm

A. Oyama, Shigeru Obayashi, K. Nakahashi

Research output: Contribution to journalConference article

10 Citations (Scopus)

Abstract

Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been developed. The real-coded ARGAs posses both advantages of the binary-coded ARGAs and the use of the floating point representation to overcome the problems of having a large search space that requires continuous sampling. First, the efficiency and the robustness of the proposed approach have been demonstrated by using a typical test function. Then the proposed approach has been applied to an aerodynamic airfoil shape optimization problem. The results confirm that the real-coded ARGAs consistently find better solutions than the conventional real-coded GAs do. The design result is considered to be the global optimal and thus ensures the feasibility of the real-coded ARGAs in aerodynamic designs.

Original languageEnglish
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
Publication statusPublished - 1999 Dec 1
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Wing design using real-coded adaptive range genetic algorithm'. Together they form a unique fingerprint.

  • Cite this