Accession Number:

ADA488130

Title:

Multi-Objective Optimization of Mixed Variable, Stochastic Systems Using Single-Objective Formulations

Descriptive Note:

Master's Ttesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH

Personal Author(s):

Report Date:

2008-03-01

Pagination or Media Count:

236.0

Abstract:

Two new algorithms are presented for multi-objective optimization of mixed-variable, stochastic systems. Both are based off of prior algorithms, but combine those pre-exsting algorithms with several other methods, to include single-objective formulations, surrogates, n-dimensional visualizations, aspiration an reservation levels, and direct search methods. Results are shown for a test set of 13 problems, ranging from 2 to 8 objectives, and including non-convex, mixed-variable, and discontinuous problems.

Subject Categories:

  • Numerical Mathematics
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE