9.4. Weakest Fit
9.4.1. Algorithm Description
Like First Fit, but uses the weaker planning values first, because the strong planning values are more likely to be able to accommodate later planning entities. So it sorts the planning values on increasing strength.
Requires the model to support planning value strength comparison.
Do not presume that this algorithm has better results than First Fit. That’s often not the case.
9.4.2. Configuration
Configure this solver phase:
<constructionHeuristic>
<constructionHeuristicType>WEAKEST_FIT</constructionHeuristicType>
</constructionHeuristic>
If the InitializingScoreTrend is ONLY_DOWN, this algorithm is faster: for an entity, it picks the first move for which the score does not deteriorate the last step score, ignoring all subsequent moves.
For advanced configuration, see Allocate Entity From Queue.

Where did the comment section go?
Red Hat's documentation publication system recently went through an upgrade to enable speedier, more mobile-friendly content. We decided to re-evaluate our commenting platform to ensure that it meets your expectations and serves as an optimal feedback mechanism. During this redesign, we invite your input on providing feedback on Red Hat documentation via the discussion platform.