Limited-evaluation evolutionary algorithm for neural nets
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Updated
Apr 4, 2017 - Go
Limited-evaluation evolutionary algorithm for neural nets
Basic pluggable evolutionary computation
🔮 Symbolic regression library
Evolutionary Algorithm Example
🍀 P2P Distributed Evolutionary Algorithms on Ephemeral Infrastructure for Neural Network Optimization.
Optimization using Evolutionary Operators
(Over-)Simplified approach to multi-objective optimization
Yet another adaptive EC-based player for the iterated prisoners' dilemma.
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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).
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Golang implementation of Conway's Game of Life
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Evolutionary algorithm for reproducing pictures, written in Golang
Implementation of an evolutionary simulation using neural networks in go.
An implementation of a genetic learning algorithm to play Foosball
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