Pareto Front Optimization
Discover mode — Explore optimal trade-offs between objectives.
Instead of returning one "best" result, the optimizer finds a set of solutions along the Pareto front — the curve where improving one objective necessarily makes another worse. Every point on this front is optimal: no other solution is better on all objectives simultaneously.
When to Use It
You are in the exploratory phase and want to understand the trade-off landscape.
You do not yet know how to rank or weight your objectives.
You want the optimizer to present options so your team can decide later.
What to Expect
Over successive iterations you get a clearer picture of what is achievable. For example: "I can reach 95% yield but only at 85% selectivity, or 90% yield at 92% selectivity."
Example
Optimizing a catalytic reaction with two objectives:
Maximize yield
Maximize selectivity
Pareto optimization explores the full yield-vs-selectivity trade-off surface so you can see where the sweet spots are.
Good to Know
Pareto Front is the default strategy when you add a second objective.
Works best with 2 or 3 objectives. For more, consider Weighted Sum or Hierarchy.
No parameters to configure — it is fully automatic.