HeuristicsA single heuristics definition
Table of content
The Steepness heuristic favor edge directions that are perpendicular or opposite to a specified up vector.
Properties
| Property | Description |
|---|---|
| Basics | |
| Weight Factor | Weight of this heuristic against other concurrent heuristics. The higher the value, the more important it is during resolution. |
| Invert | Whether the score of this heuristic should be inverted. This effectively samples the score curve backwards. |
| Score Curve | Curve over which the heuristic values will be remapped. |
| Steepness Settings | |
| Up Vector | Which direction is up. Traversed edge direction will be compared against it to measure how “steep” they are. |
| Absolute Steepness | Whether the steepness goes both ways. If enabled, this favor generally flat terrain; if disabled, directions that mirror the Up Vector are considered even more desirable than flat. |
| Local Weight | |
| Use Local Weight Multiplier | If enabled, this heuristic will be using a dynamic, per-point weight factor. |
| Local Weight Multiplier Source | Whether to read the weight from Vtx or Edges points. |
| Local Weight Multiplier Attribute | Attribute to read the local weight from. |
| Roaming | |
| UVW Seed | Bounds-relative roaming seed point |
| UVW Goal | Bounds-relative roaming goal point |
Roaming seed/goal points are used as fallback in contexts that are using heuristics but don’t have explicit seed/goals; such as Cluster Refine‘MST or Score-based refinements.