Optimization functions for Julia
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Updated
Nov 13, 2025 - Julia
Optimization functions for Julia
A playground for evolutionary computation in Julia
A Julia package for consensus-based optimisation
Solving Fermat–Torricelli problem in Julia.
A semi-automated toolkit to run large-scale, distributed numerical experiments on your optimisation functions
A Julia package for consensus-based optimisation
A plotting package for ConsensusBasedX.jl
Accompanying Julia code for research paper, "System Effects in Identifying Risk-Optimal Data Requirements for Digital Twins of Structures"
Julia implementations of various animal-inspired optimizers
Evolutionary & genetic algorithms for Julia
Algorithm to predict letters, words, sentences after training on a text.
Library for solving quantum optimal control problems in Julia. Currently offers support for GRAPE and dCRAB algorithms using piecewise constant controls.
A Julia implementation of Simultaneous Perturbation Stochastic Approximation
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