Neural Network Algorithm (NNA) for Constrained Optimization
A novel metaheuristic optimization algorithm, inspired by biological nervous systems and artificial neural networks (ANNs) is proposed for solving complex optimization problems. The proposed method, named as neural network algorithm (NNA), is developed based on the unique structure of ANNs. The NNA benefits from complicated structure of the ANNs and its operators in order to generate new candidate solutions.
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Ali Sadollah (2026). Neural Network Algorithm (NNA) for Constrained Optimization (https://fr.mathworks.com/matlabcentral/fileexchange/68473-neural-network-algorithm-nna-for-constrained-optimization), MATLAB Central File Exchange. Extrait(e) le .
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- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering >
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