🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
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Updated
Jan 27, 2025 - Go
🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
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).
A high-performance, modular Go library for exploring hybrid genetic algorithms (SGA, NSGA-II, SPEA2, FR-NSGA2) applied to multi-objective graph layout and other optimization problems.
Distributed Evolutionary Algorithms in Golang
Evolutionary Computation Framework
An evolutionary optimisation framework for Go
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