Package: DEoptimR 1.1-3

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).

Authors:Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]

DEoptimR_1.1-3.tar.gz
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DEoptimR.pdf |DEoptimR.html✨
DEoptimR/json (API)
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2 exports 1 stars 9.88 score 0 dependencies 461 dependents 2 mentions 46 scripts 51.0k downloads

Last updated 12 months agofrom:c6a75f168e. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:JDEoptimNCDEoptim

Dependencies: