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Genetic Algorithms and Monte Carlo Simulation for the Optimization of System Design and Operation.

, , and . Computational Intelligence in Reliability Engineering, volume 39 of Studies in Computational Intelligence, Springer, (2007)

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Feature vector regression with efficient hyperparameters tuning and geometric interpretation., and . Neurocomputing, (2016)Optimal design of reliable network systems in presence of uncertainty., , , and . IEEE Trans. Reliability, 54 (2): 243-253 (2005)Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors., , , and . IJCNN, page 1615-1622. IEEE, (2017)Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification., , and . Int. J. Intell. Syst., 24 (2): 118-151 (2009)Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery., , and . Appl. Soft Comput., 8 (4): 1365-1380 (2008)Adaptive artificial neural networks for seismic fragility analysis., , , and . ICSRS, page 414-420. IEEE, (2017)Cascades-Risk Informed Transmission Expansion Planning by Behavioural Cloning., , , and . ICSRS, page 176-180. IEEE, (2023)A benchmark of dynamic reliability methods for probabilistic safety assessment., , and . ICSRS, page 82-90. IEEE, (2017)Dynamic Reliability Assessment Framework for Integrated Energy Systems Based on the Improved Universal Generating Function., , , and . ICSRS, page 80-84. IEEE, (2021)A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply., , and . Reliab. Eng. Syst. Saf., (July 2023)