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pymoo

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

45,458stars4,124forksUpdated 9/18/2026

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Safe(100/100)
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Detailed description not yet generated. View the SKILL.md tab for raw content.

All Files

13 files
references/algorithms.md7.7 KB
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references/operators.md8.6 KB
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references/quick_start_workflows.md11.0 KB
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scripts/decision_making_example.py4.5 KB
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scripts/single_objective_example.py1.6 KB
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references/constraints_mcdm.md10.6 KB
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references/problems.md6.9 KB
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scripts/custom_problem_example.py4.7 KB
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scripts/multi_objective_example.py1.7 KB
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references/parallelization.md2.6 KB
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references/visualization.md9.0 KB
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scripts/many_objective_example.py2.2 KB
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SKILL.md11.2 KB
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Install pymoo

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill

Repository

k-dense-ai/scientific-agent-skills

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