Wing Structural Design by Genetic Algorithms and Homotopy Methods

Abstract

One objective of this project was to develop a global-local algorithm for wing structure design based on parallel genetic algorithms for the lower (local) level and homotopy algorithms for the upper (global) level. A second goal is to develop a similar procedure for aerodynamic wing design for a micro aerial vehicle. The upper level optimization will use a response surface approximation quality of the response surface. In support of this main objective, new genetic algorithms and homotopy algorithm concepts will be explored.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 1999
Accession Number
ADA387965

Entities

People

  • Layne T. Watson
  • Raphael T. Haftka
  • Zafer Gurdal

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Algorithms
  • Commercial Aircraft
  • Composite Materials
  • Fluid Dynamics
  • Fuselages
  • Genetic Algorithms
  • Laminates
  • Mathematical Programming
  • Mechanics
  • Optimization
  • Parallel Computing
  • Parallel Processing
  • Transport Aircraft
  • Vehicles

Readers

  • Aerodynamics/Aeronautics.
  • Computational Fluid Dynamics (CFD)
  • Forest Ecology

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology