Theory and Algorithms for Global/Local Design Optimization

Abstract

This is the final report on AFOSR grant F49620-02-1-0070. The research was motivated by aircraft structural design problems where the overall (global) design of the structure needs to be coordinated with the design of components (local). The research focused on improved methods for decomposition, for coordinating the component and overall design as well as on exploration of global optimization algorithms. In the former category, heuristic decomposition was followed with proof that it solves the original problem. In the latter category, stochastic algorithms (genetic algorithms and particle swarm optimization) were explored as well as the DIRECT deterministic global algorithm. Part of the research was done in collaboration with researchers at Virginia Tech who were funded under AFOSR grant F49620-02-1-0090.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA437353

Entities

People

  • Raphael T. Haftka

Organizations

  • University of Florida

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Biomechanical Engineering
  • Composite Materials
  • Composite Wings
  • Computer Science
  • Decomposition
  • Engineering
  • Genetic Algorithms
  • Laminates
  • Materials
  • Optimization
  • Particle Swarm Optimization
  • Particles
  • Statistical Algorithms
  • Teamwork
  • Virginia

Readers

  • Computational Fluid Dynamics (CFD)
  • Operations Research
  • Research Science/Academic Research

Technology Areas

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