Dettagli dell'autore

ANIDIS XIX & ASSISi XVII - 2022 - SS09_ANIDIS_Computational Intelligence & Machine Learning: Applications and perspectives in earthquake engineering
A new GA-based framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete frame structures
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ANIDIS XIX & ASSISi XVII - 2022 - SS09_ANIDIS_Computational Intelligence & Machine Learning: Applications and perspectives in earthquake engineering
A novel genetic algorithm-based optimization framework for minimizing seismic retrofitting costs in existing masonry structures
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