Pymoo skill: what it does and how to install it

What it does. Uses pymoo's unified Python interface to define problems, select algorithms such as NSGA-II, NSGA-III and MOEA/D, and run bounded optimisations. It validates feasibility, examines Pareto approximations, configures variable types and operators, and supports visualisation, decision-making, parallel evaluation and checkpoints.

When to use it. For engineering or research problems with single or competing objectives, constraints, mixed variables or benchmark comparisons. It requires Python 3.10+ and pymoo 0.6.2; distributed workers and expensive external models are not covered by the verified examples.