Pattern Search for Mixed Variable Optimization Problems

Abstract

CONCLUSIONS: We have found an effective method for mixed variable problems ... BUT ... It requires serious thinking by the user as to what constitutes an acceptable solution for each problem * It is not easy to incorporate surrogates with categorical variables * It is unlikely to be effective for many categorical variables * We have analyzed the method, BUT..., better results depend on the filter method for continuous variables.

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Document Details

Document Type
Technical Report
Publication Date
Feb 27, 2003
Accession Number
ADA522459

Entities

People

  • Charles Audet
  • John Dennis Jr.
  • Mark A. Abramson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Carbon Steels
  • Conductivity
  • Dielectrics
  • Evolutionary Algorithms
  • Fiberglass
  • Geometry
  • Heat Energy
  • Heat Shields
  • Insulation
  • Materials
  • Optimization
  • Stainless Steel
  • Steel
  • Thermal Conductivity
  • Thermal Insulation
  • Yield Strength

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Mathematical Modeling and Probability Theory.
  • Organizational Process Management (OPM).