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).
Package details |
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Author | Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb] (<https://orcid.org/0000-0002-8685-9910>) |
Maintainer | Eduardo L. T. Conceicao <mail@eduardoconceicao.org> |
License | GPL (>= 2) |
Version | 1.1-3 |
Package repository | View on CRAN |
Installation |
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