Mixed Variable Optimization of a Load-Bearing Thermal Insulation System Using a Filter Pattern Search Algorithm

Abstract

This paper describes the optimization of a load-bearing thermal insulation system characterized by hot and cold surfaces with a series of heat intercept sand insulation between them. The optimization problem is represented as a mixed variable programming (MVP) problem with nonlinear constraints, in which the objective is to minimize the power required to maintain the heat intercepts at fixed temperatures so that the one surface is kept sufficiently cold. MVP problems are more general than mixed interger nonlinear programming (MINLP) problems in that the discrete variables are categorical. Thus, traditional approaches that use branch and bond techniques cannot be applied.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2003
Accession Number
ADA451457

Entities

People

  • Mark A. Abramson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Conductivity
  • Dielectrics
  • Evolutionary Algorithms
  • Heat Energy
  • Heat Transmission
  • Insulation
  • Large Hadron Collider
  • Materials
  • Mathematics
  • Optimization
  • Stainless Steel
  • Test And Evaluation
  • Thermal Conductivity
  • Thermal Expansion
  • Thermal Insulation

Readers

  • Operations Research
  • Surface Engineering/Surface Coating Technology.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems