13 citations · 13 across the 3 of their papers we have counts for
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cs.NE2024
Deep Learning-Based Operators for Evolutionary Algorithms
Eliad Shem-Tov, Moshe Sipper, Achiya Elyasaf
We present two novel domain-independent genetic operators that harness the capabilities of deep learning: a crossover operator for genetic algorithms and a mutation operator for ge…
cs.NE2022
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution
Eyal Segal, Moshe Sipper
Evolutionary Computation (EC) has been shown to be able to quickly train Deep Artificial Neural Networks (DNNs) to solve Reinforcement Learning (RL) problems. While a Genetic Algor…