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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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