cuopt-multi-objective-exploration
cuopt-multi-objective-exploration is a Physics, mathematics & simulation skill for AI agents, published by NVIDIA in the cuopt repository on GitHub. Skillspace rates cuopt-multi-objective-exploration B (84/100) and it passed the safety scan; the rating is based on static analysis only.
Trace and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 972
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 1 other repositories, in 2 collections
- Scope
- Vendor-specific: built around one product. Multi-objective technique for users of the cuOpt solver
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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