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khezen/evoli (#2303)

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@ -796,6 +796,7 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
* [bayesian](https://github.com/jbrukh/bayesian) - Naive Bayesian Classification for Golang. * [bayesian](https://github.com/jbrukh/bayesian) - Naive Bayesian Classification for Golang.
* [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go. * [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
* [eaopt](https://github.com/MaxHalford/eaopt) - An evolutionary optimization library. * [eaopt](https://github.com/MaxHalford/eaopt) - An evolutionary optimization library.
* [evoli](https://github.com/khezen/evoli) - Genetic Algorithm and Particle Swarm Optimization library.
* [fonet](https://github.com/Fontinalis/fonet) - A Deep Neural Network library written in Go. * [fonet](https://github.com/Fontinalis/fonet) - A Deep Neural Network library written in Go.
* [go-cluster](https://github.com/e-XpertSolutions/go-cluster) - Go implementation of the k-modes and k-prototypes clustering algorithms. * [go-cluster](https://github.com/e-XpertSolutions/go-cluster) - Go implementation of the k-modes and k-prototypes clustering algorithms.
* [go-deep](https://github.com/patrikeh/go-deep) - A feature-rich neural network library in Go. * [go-deep](https://github.com/patrikeh/go-deep) - A feature-rich neural network library in Go.