Multi-objective optimization with pymoo — NSGA-II, NSGA-III, MOEA/D, Pareto-front computation, constraint handling, and standard benchmarks (ZDT, DTLZ). Use when solving multi-objective or constrained optimization problems, computing Pareto-optimal trade-offs, or tackling engineering design problems with competing objectives. Part of the AlterLab Academic Skills suite.
安装
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pymoonpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pymoo -a claude-code -gnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pymoo -a codex -ggemini skills install https://github.com/AlterLab-IEU/AlterLab-Academic-Skills.git --path skills/data-science/alterlab-pymoogh skill install AlterLab-IEU/AlterLab-Academic-Skills alterlab-pymoogit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills /tmp/AlterLab-IEU__AlterLab-Academic-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-pymoo ~/.claude/skills/alterlab-pymoo # Claude Code
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-pymoo ~/.agents/skills/alterlab-pymoo # Codex, Cursor, Gemini CLI, Copilot, OpenCode