{"refrec":{"BRefID":311578,"RR":"<b>Roselli, R.A.R.; Vernengo, G.; Altomare, C.; Brizzolara, S.; Bonfiglio, L.; Guercio, R.</b> (2018). Ensuring numerical stability of wave propagation by tuning model parameters using genetic algorithms and response surface methods. <i>Environ. Model. Softw. 103</i>: 62-73. <a href=\"https://dx.doi.org/10.1016/j.envsoft.2018.02.003\" target=\"_blank\">https://dx.doi.org/10.1016/j.envsoft.2018.02.003</a>","BEntID":303941,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Environ. Model. Softw. 103</i>: 62-73. <a href=\"https://dx.doi.org/10.1016/j.envsoft.2018.02.003\" target=\"_blank\">https://dx.doi.org/10.1016/j.envsoft.2018.02.003</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Roselli, R.A.R.; Vernengo, G.; Altomare, C.; Brizzolara, S.; Bonfiglio, L.; Guercio, R.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Roselli, R.A.R. <i>et al.</i>","Englishabstract":"The effectiveness of a Metamodel-Embedded Evolution Framework for model parameter identification of a Smoothed Particles Hydrodynamic (SPH) solver, called DualSPHysics, is demonstrated when applied to the generation and propagation of progressive ocean waves. DualSPHysics is an open-source code that provides GP-GPU acceleration, allowing for highly refined simulations. The automatic optimization framework combines the global-convergence capabilities of a Multi-Objective Genetic Algorithm (MOGA) with Response Surface Method (RSM) based on a Kriging approximation. The proposed Metamodel-Embedded Evolutionary framework is used to find the set of SPH model parameters that ensures an accurate reproduction of a 2nd order Stokes wave propagating in a numeric flume tank. 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