BlackBoxOptim.jl
BlackBoxOptim is a global optimization package for Julia (http://julialang.org/). It supports both multi- and single-objective optimization problems and is focused on (meta-)heuristic/stochastic algorithms (DE, NES etc) that do NOT require the function being optimized to be differentiable. This is in contrast to more traditional, deterministic algorithms that are often based on gradients/differentiability. It also supports parallel evaluation to speed up optimization for functions that are slow to evaluate.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
Sorted by year (- Bena, Iosif; Blåbäck, Johan; Graña, Mariana; Lüst, Severin: Algorithmically solving the tadpole problem (2022)
- Aragam, Vikas; Paban, Sonia; Rosati, Robert: The multi-field, rapid-turn inflationary solution (2021)
- Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, John Pearson: Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem (2021) not zbMATH
- P. K. Mogensen; A. N. Riseth: Optim: A mathematical optimization package for Julia (2018) not zbMATH