engRosenkvist, Carl B.Elfner, HannahSystematic optimization of resonance parameters in a transport approachinfo:eu-repo/classification/ddc/530This study optimizes resonance parameters responsible for strangeness production in the SMASH (Simulating Many Accelerated Strongly-interacting Hadrons) transport model using a genetic algorithm. By fitting resonance parameters to experimental data on exclusive strangeness cross sections at low energies, we significantly improve the model's accuracy, notably in pion-proton interactions. Our approach explores how machine-learning tools can be used for precise resonance tuning in transport approaches.Physical review / C 112(1), 014911 (2025). doi:10.1103/6nmy-s74winfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionInst.2025info:eu-repo/semantics/openAccessDEhttps://repository.gsi.de/record/363954https://repository.gsi.de/search?p=id:%22GSI-2026-00157%22Researchersinfo:eu-repo/semantics/altIdentifier/wos/WOS:001542164000001info:eu-repo/semantics/altIdentifier/issn/2470-0002info:eu-repo/semantics/altIdentifier/issn/2469-9993info:eu-repo/semantics/altIdentifier/doi/10.15120/GSI-2026-00157info:eu-repo/semantics/altIdentifier/issn/2469-9985info:eu-repo/semantics/altIdentifier/issn/0556-2813info:eu-repo/semantics/altIdentifier/issn/1538-4497info:eu-repo/semantics/altIdentifier/issn/1089-490Xinfo:eu-repo/semantics/altIdentifier/doi/10.1103/6nmy-s74w