Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Generalizing the Edge-Finder Rule for the Cumulative Constraint
Authors: Vincent Gingras, Claude-Guy Quimper
IJCAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments show that these algorithms are competitive with the stateof-the-art algorithms, by doing a greater ๏ฌltering and having a faster runtime. |
| Researcher Affiliation | Academia | Vincent Gingras Universit e Laval, Qu ebec, QC, Canada EMAIL Claude-Guy Quimper Universit e Laval, Qu ebec, QC, Canada EMAIL |
| Pseudocode | Yes | Algorithm 1: Schedule Tasks( , c); Algorithm 2: Overload Check(I, C); Algorithm 3: Detection(I, C); Algorithm 4: Detect Precedences( , h, h, lct); Algorithm 5: Adjustment(Prec, C); Algorithm 6: Compute Bound(i, , ovmax) |
| Open Source Code | No | The paper does not contain any statement about releasing source code or provide any links to a code repository for the methodology described. |
| Open Datasets | Yes | We implemented the algorithms for the Choco 2 solver and tried them on the benchmarks BL [Baptiste and Le Pape, 2000] and PSPLib [Kolisch and Sprecher, 1997] of Resource Constrained Project Scheduling Problems (RCPSP). |
| Dataset Splits | No | The paper mentions using benchmark suites but does not provide specific dataset split information (exact percentages, sample counts, or detailed splitting methodology) for training, validation, or testing. |
| Hardware Specification | Yes | All experiments were run on an Intel Xeon X5560 2.667GHz quad-core processor. |
| Software Dependencies | Yes | We implemented the algorithms for the Choco 2 solver |
| Experiment Setup | Yes | We used three different branching heuristics: a static variable and value ordering, Dom Over WDeg [Boussemart et al., 2004], and Impact Based Search [Refalo, 2004]. |