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novelty-search

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jdisset / 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.

c-plus-plus library genetic-algorithm header-only evolutionary-algorithms c-plus-plus-17 speciation novelty-search

Updated Oct 6, 2021
C++

BR00KE / EVOBAB

Project Investigating the Impact of a Complexity Cost on the Complexity of Robots Evolved Under two Different Selective Pressures

novelty-search complexity-cost

Updated Mar 29, 2021
C++

DIGNEA / dignea

Diverse Instance Generator with Novelty and EAs

cpp optimization evolutionary-algorithms metaheuristics novelty-search

Updated Oct 23, 2023
C++

PAL-ULL / ns_kp_generation

evolutionary-algorithms knapsack-problem optimisation novelty-search kp

Updated Jun 24, 2022
C++

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