Summary of Proactive and Reactive Constraint Programming For Stochastic Project Scheduling with Maximal Time-lags, by Kim Van Den Houten et al.
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
by Kim van den Houten, Léon Planken, Esteban Freydell, David M.J. Tax, Mathijs de Weerdt
First submitted to arxiv on: 13 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores scheduling strategies for the stochastic resource-constrained project scheduling problem with maximal time lags (SRCPSP/max), a complex optimization challenge. It proposes three novel approaches: a fully proactive method based on Constraint Programming (CP), an online rescheduling procedure, and a solution using Simple Temporal Networks with Uncertainty (STNUs). The study evaluates these methods’ performance in terms of solution quality and computation time, demonstrating that the STNU-based algorithm outperforms others. This research contributes to the development of effective scheduling techniques for real-world applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper looks at ways to schedule projects when there’s uncertainty about how long tasks will take. It comes up with three new methods: one that plans ahead using computer programs, another that adjusts schedules on the fly, and a third that uses special networks to organize tasks. The study compares these approaches, showing that the last one works best and is also efficient. |
Keywords
» Artificial intelligence » Optimization
