domains / families / data / cuopt-multi-objective-exploration
cuopt-multi-objective-exploration
separate
Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
When to use
- balance X and Y
- trade off
- minimize cost and maximize coverage
- I want options, not one answer
- two or more objectives with no agreed-upon weighting
- promoting constraints to parametric ε-constraints
- sweeping ε values
- interpreting the Pareto frontier
When not to use
- single clear objective
- everything else is a hard constraint
- genuinely fixed, non-negotiable limit
- hard budget cap
- regulatory minimum
Skill page
Source
| Repository | Path |
|---|
| NVIDIA/skills | skills/cuopt-multi-objective-exploration/SKILL.md |