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optimize-pareto-frontier

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Generate a non-dominated frontier for a multi-objective candidate/portfolio problem.

skills/optimize-pareto-frontier/SKILL.md

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Repository last updated: Oct 23, 2026
License: Apache-2.0

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# optimize-pareto-frontier
## Purpose
Generate a non-dominated frontier for a multi-objective candidate or portfolio problem while preserving objective tradeoffs.
## Input contract
```yaml
required: [candidate_set, objective_schema, constraint_schema, evaluation_records]
optional: [dominance_rule, feasibility_policy, tie_policy]
constraints: [objective directions, scales, feasibility rules, and missing-value handling are explicit]
```
## Procedure
1. Normalize candidate evaluations to the declared objective directions and units without erasing provenance.
2. Remove infeasible candidates according to hard constraints and mark unknown feasibility separately.
3. Compare every feasible candidate pair for dominance; retain candidates not dominated on all objectives.
4. Verify frontier membership, record sacrificed objectives, and emit unresolved comparisons.