Terms in brackets are the percentage change in the probability of participation as the discrete variable
changes from 0 to 1.
By way of an abbreviated definition, let us say that a stochastic process is a process that, by means of using continuous or discrete variables
, defines the behavior of a random variable over time (e.
Mine blast algorithm for optimization of truss structures with discrete variables
Thus, the mentioned problem is a nonlinear optimization problem with a combination of continuous and discrete variables
The Genetic algorithm is not continuous because of the discrete variables
For discrete variables
, a conditional probability table (CPT) can be used, where a child node can take different values for each combination of values from its parents.
Mike developed a model he called the Qual-VAR that combines discrete variables
such as the business cycle phase with the commonly used vector autoregression (VAR).
The MINLP represents a mathematical programming technique which executes the discrete optimization of discrete variables
simultaneously with the continuous optimization of continuous variables.
It is generally believed that the genetic algorithm (GA) and ant colony optimization (ACO) algorithm are more suitable to handle discrete optimization problems, because of the GA and ACO using discrete coding method and dealing directly with discrete variables
1 shows impulse responses (5) accessible for computations in respect to discrete variables
k and n and parameter [alpha] = -0.
Both groups were also compared with respect to discrete variables
as gender, presence of a ureteric stent, previous ESWL and side of treatment.
To carry out the multivariate analysis, the genetic distances between all pairs of accessions were obtained using the mean Euclidean distance as a measure of the dissimilarity for the quantitative variables and the index of dissimilarity for the discrete variables
For optimization of discrete variables
, discrete optimization methods cannot be directly applied, because a large number of FE simulations would be required.
Examples used in the chapters are based on empirical observations of behavior from both natural field settings and more controlled laboratory environments, and also make use of empirical models that investigate the influence of discrete variables
on fish behavior.
Vertical ground reaction force-time histories were reduced to five discrete variables
during the first 100 ms of ground contact using a custom MatLab (v.