Genetic Algorithms in Aerospace Design: Substantial Progress, Tremendous Potential

Abstract

This paper was written to provide an overview of the potential of using genetic algorithms (GA's) for aerospace design or to support aerospace design efforts. Genetic algorithms can design individual vehicle components, like the external aerodynamic shape, the internal supporting structure, the propulsion system, the autopilot, or just about any other system component that has requirements that can be mathematically represented and modeled. Genetic algorithms can also be used to support design studies through their ability to find optima for complicated multi-dimensional optimization topologies. This paper, which overviews multiple recent aerospace design efforts using genetic algorithms, was an invited paper presented at a joint NATO/Von-Karmen-Institute Workshop on Intelligent System held in Brussels, Belgium during May of 2002.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA485044

Entities

People

  • Murray B. Anderson

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Computational Science
  • Computers
  • Control Systems
  • Differential Equations
  • Engineering
  • Equations
  • Flight Control Systems
  • Genetic Algorithms
  • Geometry
  • Laminates
  • Mainframe Computers
  • Mathematical Models
  • Measurement
  • Rocket Engines
  • Turbines

Readers

  • Academic Conference Management
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Space