AIAug 22, 2014
Dynamic Sweep Filtering Algorithm for FlexC
arXiv:1408.5377v11 citations
Originality Synthesis-oriented
AI Analysis
This work addresses scheduling problems under uncertainty for operations research or AI planning, but appears incremental as it builds on existing FlexC constraint methods.
The paper tackles cumulative scheduling in uncertain environments using constraint programming, resulting in the dynamic sweep filtering algorithm for the FlexC global constraint.
We investigate cumulative scheduling in uncertain environments, using constraint programming. We detail in this paper the dynamic sweep filtering algorithm of the FlexC global constraint.