Project Investigating the Impact of a Complexity Cost on the Complexity of Robots Evolved Under two Different Selective Pressures
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Updated
Mar 29, 2021 - C++
Project Investigating the Impact of a Complexity Cost on the Complexity of Robots Evolved Under two Different Selective Pressures
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.
Diverse Instance Generator with Novelty and EAs
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