pymoo
Solves and validates single-, multi-, and many-objective optimization with pymoo, including NSGA-II, NSGA-III, MOEA/D, constraints, Pareto approximations, reference directions, and ZDT/DTLZ benchmarks for engineering and research problems.
- Version
- 1.6
- License
- Apache-2.0 license
- Compatibility
- Requires Python 3.10+ and pymoo 0.6.2 with its NumPy, SciPy, matplotlib and autograd dependencies. Optional joblib for parallel runners, optuna for its algorithm wrapper, and dill for checkpoints. Network needed for installation only.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
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- Bash
Files
- skills/pymoo/SKILL.md
- skills/pymoo/SKILL_CN.md
- skills/pymoo/references/algorithms.md
- skills/pymoo/references/constraints_mcdm.md
- skills/pymoo/references/lifecycle.md
- skills/pymoo/references/operators.md
- skills/pymoo/references/parallelization.md
- skills/pymoo/references/problems.md
- skills/pymoo/references/quick_start_workflows.md
- skills/pymoo/references/visualization.md
- skills/pymoo/scripts/custom_problem_example.py
- skills/pymoo/scripts/decision_making_example.py
- skills/pymoo/scripts/many_objective_example.py
- skills/pymoo/scripts/multi_objective_example.py
- skills/pymoo/scripts/single_objective_example.py
Every link opens the file at its source, pinned to the revision this page describes.