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pymoo

Solves and validates single-, multi-, and many-objective optimization with pymoo, including NSGA-II, NSGA-III, MOEA/D, constraints, Pareto approximations, reference directions, and ZDT/DTLZ benchmarks for engineering and research problems.

skills/pymoo/SKILL.md

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scripts/decision_making_example.pyruns · 6,148 bytes
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# Pymoo - Multi-Objective Optimization in Python

## Overview

Pymoo is a comprehensive Python framework for optimization with emphasis on multi-objective problems. Solve single and multi-objective optimization using state-of-the-art algorithms (NSGA-II/III, MOEA/D, SPEA2), benchmark problems (ZDT, DTLZ), customizable genetic operators, and multi-criteria decision making methods. Excels at finding trade-off solutions (Pareto fronts) for problems with conflicting objectives. Targets stable **pymoo 0.6.2**, reviewed 2026-10-01 against current official docs and native toy runs.

## Installation

```bash
uv pip install "pymoo==0.6.2"
```

For reproducible environments, pin a version: `uv pip install "pymoo==0.6.2"`.