Crandore Hub

hydroMOPSO

Multi-Objective Optimisation with Focus on Environmental Models

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.

Versions across snapshots

VersionRepositoryFileSize
0.1-14 rolling source/ R- hydroMOPSO_0.1-14.tar.gz 438.2 KiB
0.1-14 rolling linux/jammy R-4.5 hydroMOPSO_0.1-14.tar.gz 676.3 KiB
0.1-14 rolling linux/noble R-4.5 hydroMOPSO_0.1-14.tar.gz 676.2 KiB
0.1-14 latest source/ R- hydroMOPSO_0.1-14.tar.gz 438.2 KiB
0.1-14 latest linux/jammy R-4.5 hydroMOPSO_0.1-14.tar.gz 676.3 KiB
0.1-14 latest linux/noble R-4.5 hydroMOPSO_0.1-14.tar.gz 676.2 KiB
0.1-14 2026-04-26 source/ R- hydroMOPSO_0.1-14.tar.gz 438.2 KiB
0.1-14 2026-04-23 source/ R- hydroMOPSO_0.1-14.tar.gz 438.2 KiB
0.1-14 2026-04-09 windows/windows R-4.5 hydroMOPSO_0.1-14.zip 678.9 KiB

Dependencies (latest)

Imports

Suggests