Multidisciplinary design optimization of aircraft wing planform based on evolutionary algorithms

Research output: Contribution to journalConference articlepeer-review

41 Citations (Scopus)

Abstract

This paper examines the evolutionary approach for aircraft design optimization. Several niching and elitist models are first applied to Multiple-Objective Genetic Algorithms (MOGAs). Numerical results suggest that the combination of the fitness sharing and the best-N selection leads to the best performance. The resulting MOGA is then applied to multidisciplinary design optimization problems of transonic and supersonic wing platform shapes. The results confirm the feasibility of the present approach.

Original languageEnglish
Pages (from-to)3148-3153
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
Publication statusPublished - 1998 Dec 1
EventProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA
Duration: 1998 Oct 111998 Oct 14

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

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