Gaga

GAGA is a fast, header only, multi-objective, and distributed evolutionary algorithm library written in modern C++. It is designed to be easily usable with various genotype representations and allows the user to enable or disable several features such as novelty search or speciation. It also produces and exports various customizable statistics.

Categories > Machine Learning > Evolutionary Algorithm

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License

mit

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Most Recent Commit

3 years ago

Programming Language

C++

Categories

Programming Languages > C Plus Plus

Control Flow > Thread

Science > Dna

Machine Learning > Genetic Algorithm

Messaging > Zeromq

Programming Languages > Header Only

Machine Learning > Evolutionary Algorithm

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