Multiple Objective Evolution Strategies (MOES): A User's Guide to Running the Software
Final rept. Oct 2008-Sep 2009
ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD
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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.
- Computer Programming and Software