3cd5661b93
Differential Evolution (DE) stochastic algorithms for global optimization of problems with and without constraints. The aim is to curate a collection of its state-of-the-art 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 only provides an implementation of the 'jDE' algorithm by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133>. WWW: https://cran.r-project.org/web/packages/DEoptimR/
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3 lines
158 B
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TIMESTAMP = 1505040137
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SHA256 (DEoptimR_1.0-8.tar.gz) = 846911c1b2561a9fae73a8c60a21a5680963ebb0050af3c1f1147ae9a121e5ef
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SIZE (DEoptimR_1.0-8.tar.gz) = 35401
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