Real-coded adaptive range genetic algorithm applied to transonic wing optimization

Akira Oyama, Shigeru Obayashi, Takashi Nakamura

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)


Real-coded adaptive range genetic algorithm (ARGA) has been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGA possesses both advantages of the binary-coded ARGA and the floating-point representation to overcome the problems of having a large search space that requires continuous sampling. The results confirm that the real-coded ARGA consistently finds better solutions than the conventional real-coded genetic algorithms do.

Original languageEnglish
Pages (from-to)179-187
Number of pages9
JournalApplied Soft Computing Journal
Issue number3
Publication statusPublished - 2001


  • Computational fluid dynamics
  • Dynamic coding
  • Floating-point representation
  • Genetic algorithm
  • Parallelization
  • Real-world application
  • Wing design


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