https://github.com/tenstad/des-hyperneat
Deep Evolvable-Substrate HyperNEAT - Extending ES-HyperNEAT with Multiple Substrates in an Evolving Topology
https://github.com/tenstad/des-hyperneat
computer-science neat-algorithm neural-networks
Last synced: 3 months ago
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Deep Evolvable-Substrate HyperNEAT - Extending ES-HyperNEAT with Multiple Substrates in an Evolving Topology
- Host: GitHub
- URL: https://github.com/tenstad/des-hyperneat
- Owner: tenstad
- Created: 2020-01-20T20:05:14.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-06-17T00:50:32.000Z (almost 3 years ago)
- Last Synced: 2023-03-04T00:54:25.687Z (about 2 years ago)
- Topics: computer-science, neat-algorithm, neural-networks
- Language: Rust
- Homepage:
- Size: 666 KB
- Stars: 7
- Watchers: 2
- Forks: 1
- Open Issues: 4
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Metadata Files:
- Readme: README.md
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README
# Deep Evolvable-Substrate HyperNEAT - Extending ES-HyperNEAT with Multiple Substrates in an Evolving Topology
Rust implementation of the DES-HyperNEAT framework, along with three concrete
implementations:
- Layered DES-HyperNEAT (LaDES)
- Single CPPN DES-HyperNEAT (SiDES)
- Coevolutional DES-HyperNEAT (CoDES)
The work was originally part of the [Deep Evolvable-Substrate
HyperNEAT](https://hdl.handle.net/11250/2739318) master’s thesis in computer
science at [NTNU](https://www.ntnu.edu/idi). See also the article
[DES-HyperNEAT: Towards Multiple Substrate Deep
ANNs](https://doi.org/10.1109/CEC45853.2021.9504803) in [2021 IEEE Congress on
Evolutionary Computation
(CEC)](https://ieeexplore.ieee.org/xpl/conhome/9504682/proceeding).