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Petri Net Search Outperforms MIP Solvers on Scheduling Problems

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new heuristic search method for the Resource-Constrained Project Scheduling Problem (RCPSP). This approach models scheduling decisions as transitions in a Timed Transition Petri Net with resources. Experiments on standard benchmarks indicate that this new method surpasses existing Mixed-Integer Linear Programming solvers in both success rate and speed. AI

IMPACT Introduces a novel algorithmic approach that demonstrates superior performance over existing methods for complex scheduling tasks.

RANK_REASON The cluster contains a research paper detailing a new algorithm and benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Petri Net Search Outperforms MIP Solvers on Scheduling Problems

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The cluster contains a research paper detailing a new algorithm and benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Izack Cohen ·

    Petri Net Induced Heuristic Search for Resource Constrained Scheduling

    We formulate the Resource-Constrained Project Scheduling Problem (RCPSP) as optimal search over the reachability graph of a Timed Transition Petri Net with Resources, using relative-delay tokens so that scheduling decisions correspond to transition firings in the induced state sp…

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