This method is also able to deal with RBO problems with discrete and continuous design variables. Six numerical examples are provided to investigate the strengths of the method through the software application.
design problems consisting of both discrete and continuous design variables and provides an efficient solution to the focal manufacturer's design variable configuration problem. To the best of our knowledge this is the first study that optimizes an industrial product line that incorporates continuous ...
Intra-individual processes are thought to continuously unfold across time. For equally spaced time intervals, the discrete-time lag-1 vector autoregressive (VAR(1)) model and the continuous-time Ornstein–Uhlenbeck (OU) model are equivalent. It is expect
SMA-ES approximates the "geometry" of the sample distribution. It ranges from "spherical" to "needle" geometry (represented by a continuousspcvariable). When geometry is spherical, covariance matrix update filter is tuned to an increased frequency (CovUpdFastinstead ofCovUpdSlow). ...
Definition 1 (Syntax) Syntactically, a timed automaton with discrete variables is a tuple A = (L, C, D, T , 0) where – L is a finite set of locations, – C is a finite set of continuous clock variables over R≥0, – D is a finite set of discrete data variables over Z, –...
So far, classifiers have only been trained to predict continuous-time bifurcations, ignoring rich dynamics unique to discrete-time bifurcations. Here, we train a deep learning classifier to provide an early warning signal for the five local discrete-time bifurcations of codimension-one. We test the...
where the values of β sjk are drawn from the continuous mixture distribution f(β∣δ) [21]. Here we assumed the individual-specific non-price preference coefficients that had no statistically significant effects in the basic MNL model are normally distributed and correlated with a price coefficie...
Furthermore, its ability to handle both categorical and continuous variables without the need for preprocessing simplifies the modeling process. Moreover, RF is relatively robust to multi-collinearity, a common issue in datasets where predictor variables are highly correlated. It can still provide ...
In Sections 2 Formulation of multicriteria optimization problem, 3 Construction of feasible solution set on the basis of Parameter Space Investigation (PSI) method, 4 Uniformly distributed sequences in the problems with continuous, discrete, and mixed design variables we provide definition of the feasi...
On the other hand, researchers have studied the research of memristor design based on mathematical model, and analog circuit is an important way to realize the continuous-time memristor [16], [17], [18]. Nevertheless, due to easy logic programming and higher accuracy, digital circuits attract ...