Wildfire suppression resource allocation proven NP-complete, new MIP formulation and benchmark released

Researchers have proven the strong NP-completeness of wildfire suppression resource allocation problems on planar graphs and related variants. A new mixed-integer programming formulation was developed, achieving state-of-the-art results and demonstrating competitiveness against prior findings. To address the limitations of existing benchmarks, a physics-grounded instance generator was introduced, based on Rothermel's surface fire spread model, to create more realistic and challenging scenarios for algorithm evaluation. AI

IMPACT Introduces new benchmarks and computational approaches for complex simulation problems.

RANK_REASON Academic paper detailing theoretical proofs and new methodologies. [lever_c_demoted from research: ic=1 ai=0.4]

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