DEoptimR
Differential Evolution Optimization in Pure R
Differential Evolution (DE) stochastic heuristic algorithms for global optimization of problems with and without general constraints. The aim is to curate a collection of its variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it provides implementations of the algorithms 'jDE' by Brest et al. (2006) doi:10.1109/TEVC.2006.872133 for single-objective optimization and 'NCDE' by Qu et al. (2012) doi:10.1109/TEVC.2011.2161873 for multimodal optimization (single-objective problems with multiple solutions).
- Version1.1-3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/07/2023
Documentation
Team
Eduardo L. T. Conceicao
Martin Maechler
Insights
Last 30 days
This package has been downloaded 90,019 times in the last 30 days. This work is reaching a lot of screens. A significant achievement indeed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3,166 times.
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Last 365 days
This package has been downloaded 834,056 times in the last 365 days. The kind of popularity that makes other researchers envious. Truly impressive! The day with the most downloads was Dec 17, 2024 with 7,960 downloads.
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Dependencies
- Enhances1 package
- Reverse Depends1 package
- Reverse Imports4 packages
- Reverse Suggests3 packages