Evolutionary approach to model calibration with uncertainty
Author:
Affiliation:
1. Universitat Politècnica de València, Valencia, Spain
2. Universidad del País Vasco UPV/EHU, Donostia, Spain
3. Universidad de Extremadura, Badajoz, Spain
4. Universidad Complutense de Madrid, Madrid, Spain
Funder
Agencia Estatal de Investigación
Generalitat Valenciana
Eusko Jaurlaritza
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3520304.3533948
Reference18 articles.
1. A Survey of Models for Tumor-Immune System Dynamics
2. arvkevi. 2021. Kneed. https://github.com/arvkevi/kneed. arvkevi. 2021. Kneed. https://github.com/arvkevi/kneed.
3. S. Boyd and L. Vandenberghe. 2004. Convex Optimization. Cambridge University Press. https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf S. Boyd and L. Vandenberghe. 2004. Convex Optimization. Cambridge University Press. https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf
4. A comprehensive probabilistic solution of random SIS-type epidemiological models using the random variable transformation technique
5. Pareto optimality in multiobjective problems
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1. A Calibration Method for Random Models with Dependent Random Parameters: The Applied Case of Tumor Growth;Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling;2023-10-22
2. On the Epidemiological Evolution of Colistin-Resistant Acinetobacter Baumannii in the City of Valencia: An Agent-Based Modelling Approach;Mathematical Modelling of Natural Phenomena;2023
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