Tree-based models are increasingly popular due to their ability to identify complex relationships that are beyond the scope of parametric models. Survival
As a tree-based ensemble learning model, this model has extensively used to evaluate the importance degree of any climatic dataset in various regions25,72. To the best of author's knowledge, the RF model has not yet been employed to explore the importance degree of 13 empirical models ...
Binary variable; value of 1 if stop ith precedes stop hth on route kth of mode m Binary variable; value of 1 if stop ith is assigned to station jth via mode m Number of stops Number of stations Number of feeder mode The maximum number of routes in feeder modes Any proper subset of ...
Compared to the Monte Carlo/Latin hypercube sampling method, the scene tree method, and the non-parametric probability prediction method, this method causes less damage to data characteristics and can accurately describe the data changes of the original scene. Energies 2018, 11, 2608 3 of 19 The...
Keywords: offshore; wind turbines; maintenance management; fault tree analysis; binary decision diagrams 1. Introduction The renewable energy industry is in continuous development to achieve the energy framework targets established by governments [1]. Nowadays, the most developed countries are focused on...
Real-coded NSGA-II with a simulated binary crossover (SBX) operator [28] and a polynomial mutation operator [29] were adopted in this paper to search the minimum values of the objective functions. The parameters of the NSGA-II are shown in Table 1. Table 1. Parameters of the non-...