Art
I added updated CMAES with new default parameters & weighted recombination. It is now based on https://arxiv.org/abs/1604.00772. The old version was truly a toy implementation with many limitations. With GA...
With bit vector, you need binary crossover (https://wildart.github.io/Evolutionary.jl/dev/crossover/) and mutations (https://wildart.github.io/Evolutionary.jl/dev/mutation/#Genetic-Algorithm-1) ```julia julia> result = Evolutionary.optimize( f, binvec0, GA( populationSize = 40, mutationRate = 0.15, epsilon = 0.1, selection =...
> Is there any reason why the algorithm couldn't just assume bitwise operations by default then, whenever presented with binary data? The API deigned in a way that an individual...
Implement custom `trace!` method (https://wildart.github.io/Evolutionary.jl/dev/tutorial/#Trace-1). The `population` parameter is an array of the individuals, and the `state` should contain their fitness (see the particular algorithm implementation). There exist a test...
Thanks for testing package in such mode. I wouldn't never try to use this algorithms without specific parameters. But, I understand that for someone new trying evolutionary optimization the experience...
> It's especially strange with [GA](https://wildart.github.io/Evolutionary.jl/stable/ga/), where the default mutation and crossover operations are no-ops, but mutation and crossover seem to be the entire point of genetic algorithms. Exactly my...
It isn't just **uniform**, it is **(μ, λ)-uniform ranking** which takes **μ** fittest individuals and selects uniformly from them. **λ** is a total number of individuals in the population. If...
Too bad, that `tsvd` doesn't follow `LinearAlgebra` interface by returning `SVD` object. It's a good that you mention a possibility of other eigendecomposition methods. But, it would require to rewrite...
http://www.stat.ucla.edu/research/gpa/references.pdf
I found some implementation on GitHub while ago. These may come handy during the testing. https://github.com/EducationalTestingService/factor_analyzer/blob/master/factor_analyzer/rotator.py https://github.com/mvds314/factor_rotation