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A self-tuning system for dam behavior modeling based on evolving artificial neural networks.

, , , and . Adv. Eng. Softw., (2016)

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The mean-value at risk static portfolio optimization using genetic algorithm., , , , and . Comput. Sci. Inf. Syst., 11 (1): 89-109 (2014)Adaptive system for dam behavior modeling based on linear regression and genetic algorithms., , , , and . Adv. Eng. Softw., (2013)A self-tuning system for dam behavior modeling based on evolving artificial neural networks., , , and . Adv. Eng. Softw., (2016)Towards the development of a unified virtual population model in hypertrophic cardiomyopathy., , , , , , , , , and 1 other author(s). BHI, page 1-4. IEEE, (2021)Optimizing the performance of optimization in the cloud environment-An intelligent auto-scaling approach., , and . Future Gener. Comput. Syst., (2019)Machine learned domain decomposition scheme applied to parallel multi-scale muscle simulation., , , , and . Int. J. High Perform. Comput. Appl., (2019)Identifying optimal architectures of physics-informed neural networks by evolutionary strategy., , , , , , and . Appl. Soft Comput., (October 2023)Integration of Surrogate Huxley Muscle Model into Finite Element Solver for Simulation of the Cardiac Cycle., , , , , , and . EMBC, page 3943-3946. IEEE, (2022)Distributed multi-scale muscle simulation in a hybrid MPI-CUDA computational environment., , , , and . Simulation, 92 (1): 19-31 (2016)Elastic grid resource provisioning with WoBinGO: A parallel framework for genetic algorithm based optimization., , , , and . Future Gener. Comput. Syst., (2015)