eLSHADE+: Source Code, Benchmarks, Experimental Data and Results

Software and Supplementary Material for: Polo-Rodriguez, A., Penas, D. R., Banga, J.R. (2026). An adaptive multi-strategy metaheuristic for robust model calibration in large-scale systems biology. bioRxiv 2026.01.27.701977. (article) GPLv3 license Funding: J.R.B. acknowledges that this work has received funding from grant PID2023-146275NB-C22 (DYNAMO-bio project) funded by MICIU/AEI/10.13039/501100011033 and ERDF/EU. A.P.R. acknowledges Xunta de Galicia, through the Axencia Galega de Innovación, for a predoctoral grant (Programa de axudas á etapa predoutoral 2025, IN606A-2025/011). D.R.P. and J.R.B. acknowledge support by the European Commission – NextGenerationEU, through Momentum CSIC Programme: Develop Your Digital Talent. D.R.P. is hired under the Generation D initiative, promoted by Red.es, an organisation attached to the Ministry for Digital Transformation and the Civil Service, for the attraction and retention of talent through grants and training contracts, financed by the Recovery, Transformation and Resilience Plan through the European Union's Next Generation funds. Related key references: 1. Villaverde, A.F. et al. (2015) BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology. BMC Systems Biology 9:8. 2. Egea, J.A. et al. (2014) MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics.BMC Bioinformatics 15:136.