The MOEA Framework is an open-source evolutionary computation library for Java that specializes in multi-objective optimization.

As a result, it has been used to conduct numerous comparative studies to assess the efficiency, reliability, and controllability of state-of-the-art MOEAs.

New problems are defined in the MOEA Framework using one or more decision variables of a varying type.

This includes common representations such as binary strings, real-valued numbers, and permutations.

Sensitivity analysis in this context studies how an MOEA's parameters impact its output (i.e., the quality of the results).