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Found 2 papers, 2 papers with code
EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming
However, GPU acceleration of TGP faces three key challenges: inefficient tree encoding, highly heterogeneous genetic operations, and limited parallelism in fitness evaluation.
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
Through evaluations across a spectrum of robotics control environments in Brax, TensorNEAT achieves up to 500x speedups compared to the existing implementations such as NEAT-Python.
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