Consolidation assessment using Multi Expression Programming

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@Article{Sharifi:2020:ASC,

• author = "Sohrab Sharifi and Saeed Abrishami and Amir H. Gandomi",
• title = "Consolidation assessment using Multi Expression Programming",
• journal = "Applied Soft Computing",
• year = "2020",
• volume = "86",
• pages = "105842",
• month = jan,
• keywords = "genetic algorithms, genetic programming, Geotechnical engineering, Evolutionary computation, Multi-Expression Programming, Consolidation, Prediction",
• ISSN = "1568-4946",
• URL = "http://www.sciencedirect.com/science/article/pii/S1568494619306234",
• DOI = "doi:10.1016/j.asoc.2019.105842",
• abstract = "In this study, new approximate solutions for consolidation have been developed in order to hasten the calculations. These solutions include two groups of equations, one can be used to calculate the average degree of consolidation and the other one for computing the time factor (inverse functions). Considering the complicated nature of consolidation, an evolutionary computation technique called Multi-Expression Programming was applied to generate several non-piecewise models which are accurate and straightforward enough for different purposes for calculating the degree of consolidation for each depth and its average as well for the whole soil layer. The parametric study was also performed to investigate the impact of each input parameter on the predicted consolidation degree of developed models for each depth. Moreover, the results of the consolidation test carried out on four different clays attained from the literature showed the proper performance of the proposed models.",
• notes = "also known as \cite{SHARIFI2020105842},",

}

Genetic Programming entries for Sohrab Sharifi Saeed Abrishami A H Gandomi

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