Robust Constrained Blackbox Optimization with Surrogates

Abstract

This document is the final report on our research sponsored by AFOSR. The goal of our project remains: The design, analysis, and implementation of optimization tools to aid in making and documenting decisions involving trading off multiple objectives for mixed variable, generally constrained problems with no global smoothness assumptions. More and more researchers are getting interested in the field of blackbox optimization.

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Document Details

Document Type
Technical Report
Publication Date
May 21, 2015
Accession Number
AD1001401

Entities

People

  • Charles Audet
  • Sebastien Le Digabel

Organizations

  • Polytechnic School of Montreal

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Air Force Research Laboratories
  • Algorithms
  • Chemical Engineering
  • Compressed Sensing
  • Computations
  • Contracts
  • Electronic Mail
  • Engineering
  • Machine Learning
  • Materials
  • Materials Science
  • Mathematical Programming
  • Mathematics
  • Mechanical Engineering
  • Signal Processing
  • Students

Fields of Study

  • Computer science

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Technical Research and Report Writing.