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

Akira Oyama, Shigeru Obayashi, Takashi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

Real-coded Adaptive Range Genetic Algorithms (ARGAs) have been applied to a practical three-dimensional shape optimization for aerodynamic design of an aircraft wing. The real-coded ARGAs possess both advantages of the binary-coded ARGAs 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 ARGAs consistently find better solutions than the conventional real-coded Genetic Algorithms do.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature PPSN VI - 6th International Conference, Proceedings
EditorsMarc Schoenauer, Kalyanmoy Deb, Gunther Rudolph, Hans-Paul Schwefel, Xin Yao, Evelyne Lutton, Juan Julian Merelo
PublisherSpringer Verlag
Pages712-721
Number of pages10
ISBN (Print)9783540410560
DOIs
Publication statusPublished - 2000
Event6th International Conference on Parallel Problem Solving from Nature, PPSN 2000 - Paris, France
Duration: 2000 Sep 182000 Sep 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1917
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Parallel Problem Solving from Nature, PPSN 2000
CountryFrance
CityParis
Period00/9/1800/9/20

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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