A Multiobjective Approach to Transonic Wing Design by Means of Genetic Algorithms

Abstract

In this work a transonic wing design problem is faced by means of a multiobjective genetic algorithm, and using a full potential flow model. The applications here presented regard both planform and wing section optimization. It is shown how both geometric and aerodynamic constraints can be taken into account, and how the multiobjective approach to optimization can be an effective way to handle conflicting design criteria. An interpolation technique allowing a better approximation of Pareto fronts is described. Two possible ways of improving the computational efficiency of the genetic algorithm, namely a parallel implementation of the code and a hybrid optimization approach, are presented.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADP010518

Entities

People

  • A. Vicini
  • D. Quagliarella

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerodynamic Drag
  • Algorithms
  • Computations
  • Computer Programming
  • Design Criteria
  • Drag
  • Flow
  • Genetic Algorithms
  • Geometry
  • Leading Edges
  • Mach Number
  • Multiobjective Optimization
  • Optimization
  • Potential Flow
  • Pressure Distribution
  • Random Walk
  • Trailing Edges

Fields of Study

  • Physics

Readers

  • Aerodynamics/Aeronautics.
  • Operations Research
  • Systems Analysis and Design

Technology Areas

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