Optimization using Evolutionary Operators

Evolutionary Algorithm Example

(Over-)Simplified approach to multi-objective optimization

Implementation of an evolutionary simulation using neural networks in go.

Yet another adaptive EC-based player for the iterated prisoners' dilemma.

Evolutionary algorithm for reproducing pictures, written in Golang

Genetic algorithm that strives to breed perfect offspring from imperfect parents.

Basic pluggable evolutionary computation

🧬 Conway's Game of Life simulation distributing the work between AWS nodes using a broker server architecture

An implementation of a genetic learning algorithm to play Foosball

Find a meal that meets your macro goals by tournament selection

🍀 P2P Distributed Evolutionary Algorithms on Ephemeral Infrastructure for Neural Network Optimization.

estimation of phygenome conservation across the genome alignments

A car physics demo with genetic algorithm-based driving evolution.

Keras hyperparameter optimization with Evolutionary Algorithms

Limited-evaluation evolutionary algorithm for neural nets

Evolutionary Multi-Agent System implemented in GO

🔮 Symbolic regression library

Golang implementation of Conway's Game of Life

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).