Evolutionary.jl
Evolutionary.jl copied to clipboard
wildart
Evolutionary & genetic algorithms for Julia
# TL;DR `GA()` and `DE()` don't move away from the initial point, say that any initial point is the optimum and _report convergence_, even though the algorithm isn't anywhere near...
Consider parallelization of the algorithms in multiple modes: - [x] Single process (core) - [x] Multi-threading - [ ] Multi-process (multi-core)
Based on the approach of the `ga` package in python, each gene has its own structure, making it easier to create individual and populations. Another main advantage is that is...
Refactored selections.jl to fix some bugs (including issue https://github.com/wildart/Evolutionary.jl/issues/40) and improve clarity.
The example below fails ~ 1 in every 10 times on Julia master, with the following error: ```julia using StableRNGs using Random using Test using Evolutionary rng = StableRNG(42) N...
None of the examples provided in the Jupyter notebook entitled "Symbolic Regression with Genetic Programming" seem to work. I used the last available version (0.11.1) of the package and tested...
First, thanks for making such a great package for free wouldn't it be great if you could add "Multi-population" option to genetic algorithm?! I mean you could kind of extend...
Hi, Could you please provide an example of how to define and add WorstFitnessConstraints and PenaltyConstraints to the optimization? Thanks!
First, thanks for building and sharing such an exciting and promising package! I tried your SymbolicRegression example: https://github.com/wildart/Evolutionary.jl/blob/master/examples/SymbolicRegression.ipynb In section `1.3.1 Linear`, the solution found is much more complex than...
Hi, I am wondering how can I get the status from the `result` variable, is there a function call on `result` and return the status: success or failure? Thanks.
