Multi-Objective Optimisation with Focus on Environmental Models R package hydroMOPSO version 0.1-14 State-of-the-art Multi-Objective Particle Swarm Optimiser (MOPSO), based on the algorithm developed by Lin et al. (2018) <doi:10.1109/TEVC.2016.2631279> with improvements described by Marinao-Rivas & Zambrano-Bigiarini (2020) <doi:10.1109/LA-CCI48322.2021.9769844>. This package is inspired by and closely follows the philosophy of the single objective 'hydroPSO' R package ((Zambrano-Bigiarini & Rojas, 2013) <doi:10.1016/j.envsoft.2013.01.004>), and can be used for global optimisation of non-smooth and non-linear R functions and R-base models (e.g., 'TUWmodel', 'GR4J', 'GR6J'). However, the main focus of 'hydroMOPSO' is optimising environmental and other real-world models that need to be run from the system console (e.g., 'SWAT+'). 'hydroMOPSO' communicates with the model to be optimised through its input and output files, without requiring modifying its source code. Thanks to its flexible design and the availability of several fine-tuning options, 'hydroMOPSO' can tackle a wide range of multi-objective optimisation problems (e.g., multi-objective functions, multiple model variables, multiple periods). Finally, 'hydroMOPSO' is designed to run on multi-core machines or network clusters, to alleviate the computational burden of complex models with long execution time. Software Depends: R (>= 4.0.0) Imports: zoo, parallel, randtoolbox, lhs, hydroTSM, methods Suggests: knitr, rmarkdown, smoof, hydroGOF, airGR, TUWmodel Rodrigo Marinao-Rivas <ra.marinao.rivas@gmail.com> Comprehensive R Archive Network (CRAN) Rodrigo Marinao-Rivas [aut, cre, cph], Mauricio Zambrano-Bigiarini [aut, ctb, cph] (ORCID: <https://orcid.org/0000-0002-9536-643X>) GPL (>= 2) 2025-06-18 application/tgz https://CRAN.R-project.org/package=hydroMOPSO doi:10.32614/CRAN.package.hydroMOPSO