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Modular Multiobjective (Hyper) NEAT Source Code
Modular Multiobjective (Hyper) NEAT, or simply MM-NEAT, is a Java-based framework that extends
to use the multiobjective optimization algorithm
Non-dominated Sorting Genetic Algorithm II (NSGA-II) to
evolve agents that effectively possess multiple brains.
Different brain modules can be used in different situations,
making it easy to evolve multimodal behavior.
This project began as part of
Dr. Jacob Schrum's
dissertation, put has since been expanded upon to include an implementation of
and also support several forms of interactive evolution. MM-NEAT also has
many interesting domains integrated into the code: Ms. Pac-Man, Tetris,
a Predator/Prey grid world, and Doom to name a few. Support for
Latent Variable Evolution to generate video game levels with a
Generative Adversarial Network has also recently been added.
The Java source code is available via GitHub here.
This version of the code uses Maven for dependency management,
and continues to be developed. However, because Maven is sometimes intimidating to those
unfamiliar with it, several spin-offs of the main MM-NEAT repository have been made, such
as GameGAN, which is for latent variable
evolution of video game levels, Quantum Zentanglement,
which combines Picbreeder and WaveFunctionCollapse to generate Zentangles, and
CPPN Art Evolution, which
has a variety of systems for interactive art generation via Compositional Pattern Producing Networks.
Peer-Reviewed Journal Articles
Peer-Reviewed Conference Publications
and Jacob Schrum
Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles,
EvoMUSART: International Conference on Computational Intelligence in Music, Sound, Art, and Design.
Undergraduate Poster Presentations Supervised
Last Updated: 5/28/2019