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Found 3 papers, 1 papers with code
A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms
In this work, we propose a set-based Newton method for Hausdorff approximations of the Pareto front to be used within multi-objective evolutionary algorithms.
A Neural Network-Evolutionary Computational Framework for Remaining Useful Life Estimation of Mechanical Systems
This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems.
Automatic Model Selection for Neural Networks
The main contributions of this method are a simple list based encoding for neural networks as genotypes in an evolutionary algorithm, new crossover, and mutation operators, the introduction of a fitness function that considers both, the accuracy of the model and its complexity and a method to measure the similarity between two neural networks.
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