cuopt-multi-objective-exploration
CommunityReveal cuOpt tradeoffs with Pareto frontiers.
Software Engineering#routing#optimization#decision-support#multi-objective#pareto-frontier#cuopt#epsilon-constraint
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
cuOpt normally optimizes a single objective per solve. This skill constructs the Pareto frontier by running repeated single-objective cuOpt solves, revealing non-dominated tradeoffs between conflicting objectives and preventing premature single-number decisions.
Core Features & Use Cases
- Build and interpret a Pareto frontier from two or more objectives using weighted-sum and ε-constraint methods.
- Generate payoff tables by solving objectives in isolation, then sweep to map tradeoffs, including non-convex regions.
- Identify knee points and present actionable tradeoffs while deferring final selections to user judgment.
- Supports routing and general LP/MILP/QP problems via cuOpt APIs.
Quick Start
Use cuOpt to perform a frontier analysis on a bi-objective problem and inspect the resulting tradeoff curve.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cuopt-multi-objective-exploration Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#cuopt-multi-objective-exploration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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