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Found 2 papers, 2 papers with code
Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation
Considering the complexity of using neural networks in the process compared to simple diversity mechanisms, we investigate whether they are competitive and the possibility of integrating them to improve the results.
Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits
As NN needs to collect data at each time step, if the time horizon is short, we will not be able to collect enough samples to train the NN.
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