Pymoo
zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/pymooby zLanqing7ed6377f0efb6a38951b48ef03b19d996e454b1fApache-2.0 licenseListed Oct 9, 2026Updated Oct 9, 2026
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/algorithms.md | 6 KB | text/markdown |
| references/constraints_mcdm.md | 10.6 KB | text/markdown |
| references/operators.md | 8.6 KB | text/markdown |
| references/problems.md | 6.9 KB | text/markdown |
| references/visualization.md | 9 KB | text/markdown |
| scripts/custom_problem_example.py | 4.7 KB | text/plain |
| scripts/decision_making_example.py | 4.5 KB | text/plain |
| scripts/many_objective_example.py | 2.1 KB | text/plain |
| scripts/multi_objective_example.py | 1.7 KB | text/plain |
| scripts/single_objective_example.py | 1.6 KB | text/plain |
| SKILL.md | 16.4 KB | text/markdown |
Source and attribution
Source:zLanqing/codex-claude-academic-skillsinscientific-toolkit-skill/references/scientific-skills/pymooat commit7ed6377
License: Apache-2.0 license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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