Ensemble Techniques for Determining Globally Optimal Designs for Problems with Broadly Stated Design Objectives

Abstract

In this project we have investigated the use of global optimization techniques for device design problems in photonics and electronics. Using several concrete device design problems as guides, we have defined a sub-class of global optimization problems with high-dimensional design space as the main focus of our effort. We have evaluated optimization approaches including Genetic Algorithm and Simulated Annealing for this class of problems. This evaluation confirmed our previous experience in using these techniques in global optimal design problem. In fact these methods do not effectively use all available local information during the search for the global optimal solution and can easily be trapped near locally optimal solutions. We have subsequently developed an Ensemble Global Optimization (EnGO) technique that explicitly defines region of exclusions around already examined points in the design space to allow maximal coverage of the design space through randomized search. At the same time local gradient information is used to accelerate convergence to local and global optimal solution. The method is being tested successfully on prototype problems in relatively high dimensional design space.

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Document Details

Document Type
Technical Report
Publication Date
Apr 27, 2008
Accession Number
ADA484255

Entities

People

  • Chunming Wang
  • Gary I. Rosen

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Annealing
  • Complex Systems
  • Convergence
  • Demographic Cohorts
  • Department Of Defense
  • Genetic Algorithms
  • Information Operations
  • Mathematics
  • Models
  • Optimization
  • Prototypes
  • Test And Evaluation
  • Test Beds
  • Two Dimensional
  • Vector Spaces
  • Weather Forecasting

Readers

  • Mathematical Modeling and Probability Theory.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

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