cuopt-multi-objective-exploration

Multi-Objective Exploration cuOpt optimizes one objective per solve. Many real problems have several objectives that pull against each other — cost vs. service level, return vs. risk, makespan vs. overtime, distance vs. vehicle count. A single solve answers "what's optimal for one particular weighting ," but it hides the tradeoff the user actually needs to see. This skill turns a sequence of single-objective cuOpt solves into a Pareto frontier — the set of solutions where you can't improve one objective without giving up another — and gives the discipline to read it. It adds no solver features; it orchestrates the LP / MILP / QP solves already covered by the formulation and API skills. When this applies Reach for this workflow when the problem has two or more objectives with no agreed-upon weighting , signalled by language like: "balance X and Y", "trade off", "as cheap as possible without hurting service" "minimize cost and maximize coverage", "I want options, not one answer" any objective the user is willing to relax in exchange for another If there is a single clear objective (everything else is a hard constraint), this skill does not apply — formulate and solve once. Show more Installs 737 Repository nvidia/skills GitHub Stars 2.5K First Seen Jun 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass