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Chapter 13. Partitioned Search
13.1. Overview 复制链接链接已复制到粘贴板!
For very big datasets, it is sometimes worthwhile to partition the datasets into smaller pieces.
However, partitioning leads to suboptimal results, even if the pieces are solved optimally:
A future version of Planner will have native support for several forms of partitioning. Meanwhile, you can implement it yourself as shown in the image above. Use a Solver
to solve each piece.
Not all use cases can be partitioned. It only works on use cases for which the planning entities and value ranges can be divided into n pieces, such that none of the constraints cross piece boundaries.