Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Advanced Optimization Algorithms Research
Abstract
This dataset provides raw solver runtimes for Mixed-Integer Programming (MIP) instances solved using Gurobi 12.0 with different parameter configurations. Configurations The evaluated portfolio comprises 12 distinct configurations defined as: $$C = \{(p, h) \mid p \in \{0, 1, 2\}, h \in \{0, 0.05, 0.20, 0.60\}\}$$ Presolve ($p$): Controls model reduction and reformulation through redundancy removal, variable fixing, and constraint tightening. 0: Disabled 1: Conservative 2: Aggressive Heuristics ($h$): Controls the fraction of solver time dedicated to finding feasible integer solutions. 0: $0\%$ (Disabled) 0.05: $5\%$ 0.20: $20\%$ 0.60: $60\%$ Dataset files The repository includes the following CSV files: miplib2017.csv Contains raw runtimes for 196 instances from the MIPLIB 2017 benchmark library. Includes columns for all 12 configuration pairs plus a baseline default Gurobi run (grb_default). milp_evolve.csv Contains raw runtimes for instances from the MILP-Evolve dataset evaluated across the 12 parameter configurations. milp_evolve_grbdefault.csv Contains baseline default Gurobi runtimes (grb_default) specifically for the subset of test instances used in the associated paper evaluation. Column naming Instance: Name of the MIP instance file (e.g., .mps file). p{p}_h{h}: Solver runtime (in seconds) under the specific presolve level $p$ and heuristic fraction $h$ (e.g., p0_h0 represents Presolve = 0, Heuristics = 0%; p1_h0.2 represents Presolve = 1, Heuristics = 20%). grb_default: Solver runtime (in seconds) using Gurobi's default parameters. Usage and Citation If you use this dataset in your research or software projects, please cite the corresponding paper or repository (under review).
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