skills/claude-scientific-skills
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Timothy Kassis
2025-10-21 12:50:07 -07:00
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scientific-packages/pymoo/SKILL.md
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@@ -7,11 +7,11 @@ description: "Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D,
## Overview
Pymoo is a comprehensive Python framework for solving optimization problems with emphasis on multi-objective optimization. The library provides state-of-the-art single-objective and multi-objective algorithms, extensive benchmark problems, customizable genetic operators, advanced visualization tools, and multi-criteria decision making methods. Pymoo excels at finding trade-off solutions (Pareto fronts) for problems with conflicting objectives.
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), 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.
## When to Use This Skill
Apply this skill when:
This skill should be used when:
- Solving optimization problems with one or multiple objectives
- Finding Pareto-optimal solutions and analyzing trade-offs
- Implementing evolutionary algorithms (GA, DE, PSO, NSGA-II/III)