Accession Number:

ADA612711

Title:

Multiple Objective Evolution Strategies (MOES): A User's Guide to Running the Software

Descriptive Note:

Final rept. Oct 2008-Sep 2009

Corporate Author:

ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD

Personal Author(s):

Report Date:

2014-11-01

Pagination or Media Count:

32.0

Abstract:

A user s guide for the parallel Multiple Objective Evolution Strategies MOES software package is presented. MOES employs a sophisticated self-adaptive evolutionary algorithm known as Evolution Strategies. The software can perform single objective optimization with and without constraints as well as multiple objective optimization using a fitness function based on Pareto dominance. The novel multiple-objective fitness function is computed using the concept of efficiency from Data Envelopment Analysis DEA, a specialized application of linear programming. MOES is unique in combining a very flexible self-adaptive algorithm with a novel multiple-objective algorithm to compute Pareto fitness, all within a package that has been efficiently parallelized.

Subject Categories:

  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE