Claude Skill MartBrowse skillsQuick linesLearn by videoTerminal guideWhat is a Skill?
 
← Back to list

pymoo Multi-Objective Optimization Assistant

A skill that guides you through defining single-, multi-, and many-objective problems in pymoo, computing Pareto fronts, and picking a final solution.

Data & AnalyticsAdvanced★ 33,030⑂ 3,248AI score 8/10Last updated: Aug 9, 2026

What it does

  • Writes optimization code around pymoo's unified minimize(problem, algorithm, termination) interface.
  • Recommends algorithms by problem class: GA/DE/PSO/CMA-ES for single objective, NSGA-II/SPEA2/MOEA/D for 2-3 objectives, NSGA-III/RVEA/AGE-MOEA for 4+.
  • Explains the three problem-definition styles (Problem, ElementwiseProblem, FunctionalProblem) and mixed-variable setups.
  • Covers benchmark suites (ZDT, DTLZ, WFG), genetic operator tuning, parallel evaluation, visualization (Scatter, PCP, Radviz, Heatmap), and MCDM-based decision making.
  • Includes a troubleshooting checklist for non-convergence, poor front spread, infeasibility, and expensive evaluations.

Who it's for

  • Engineers and analysts balancing conflicting objectives in design, scheduling, or parameter tuning.
  • Researchers and grad students benchmarking evolutionary algorithms for papers.
  • Python developers implementing constrained or mixed-variable optimization.

Example uses

  1. "Minimize cost and weight for this beam design with NSGA-II and plot the Pareto front" → custom ElementwiseProblem plus visualization code.
  2. "My problem has 6 objectives — which algorithm?" → NSGA-III with reference-direction setup.
  3. "Almost no feasible solutions appear" → verify g(x) ≤ 0 formulation, try constraint-as-objective, repair operators, or SRES/ISRES.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/pymoo/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/pymoo folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/pymoo/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/pymoo ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and move to your working directory.
  2. Clone the repository: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Create the skills directory: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r scientific-agent-skills/skills/pymoo ~/.claude/skills/
  5. Install the Python dependencies: uv pip install "pymoo==0.6.1.6" matplotlib (Python 3.10+ required).
  6. Restart Claude Code, then ask something like "use pymoo to solve this multi-objective problem".
  7. Verify the setup by running python3 ~/.claude/skills/pymoo/scripts/multi_objective_example.py.
View source on GitHub ↗License: MIT