Pareto Scatter 2D
Overview
The Pareto Scatter 2D chart displays optimization trials as a 2D scatter plot of two objective functions, highlighting the Pareto front — the set of non-dominated solutions where no trial is strictly better than another on all objectives simultaneously.
Use this chart to explore trade-offs between two objectives and identify the best-compromise trials on the Pareto front.
Controls
| Item | Description |
|---|---|
| X / Y axis | Use the X and Y dropdowns to select which objective is plotted on each axis. |
| Surrogate front | When a surrogate optimization result is available, check "Surrogate front" to overlay the predicted Pareto front as gold diamond markers. |
| Infeasible trials (constrained studies only) | These are always shown in a distinct color when the study has constraints; there is no control to hide them. |
Operations
Pan, zoom, reset, point hover/click, and Shift-drag region select follow the standard 2D chart controls.
| Item | Description |
|---|---|
| Hover | The point tooltip shows the trial number and objective values. |
| Trial detail | Click a point to open its detail modal. |
How to Read
- Pareto front points (red): non-dominated trials — no other trial is better in both objectives simultaneously. These are your best candidates.
- Non-Pareto points (blue): dominated trials — another trial is at least as good in every objective and strictly better in at least one.
- Infeasible points: trials that violate constraints, shown in a distinct colour.
- Unselected points (greyed): points outside the current brush/selection region.
- Trade-off shape: a smooth Pareto curve indicates a continuous trade-off. A scattered front may indicate insufficient trials or conflicting objectives.
- Gaps in the front: regions where no solution has been found — consider running more trials in those areas.
- Outliers far from the front: dominated trials that performed poorly on both objectives.