generation number

generation number

[‚jen·ə′rā·shən ‚nəm·bər]
(computer science)
A number contained in the file label of a reel of magnetic tape that indicates the generation of the data set of the tape.
References in periodicals archive ?
The slopes of these relative viscosity curves show a linear relationship with respect to the generation number. PAMAM dendrimers have the greater slopes for each generation, reflecting their relatively larger intrinsic viscosity values.
The generation number of the complex algorithm converging to the optimal solution is 535.
(4) Judge whether either the condition of termination or the maximum evolutionary generation number has been reached.
Each data packet is tagged with the packet's global encoding vector, the generation number and other related information.
The larger the generation number k is, the smaller the inertial weight [w.sup.k.sub.i] becomes.
Expressions for the dimensionless velocity, temperature, current density, wall shear stress, all heat transfer, Bejan number, and entropy generation number are presented.
For DE/rand/1/bin, suppose a population in DE consists of [x.sup.g.sub.i], i = 1, 2, ...,[N.sub.p], where g denotes the generation number, and each [x.sup.g.sub.i], which is a D-dimension vector, denotes a possible solution; the details are as follows:
The GA parameters, including generation number, mutation rate, crossover rate, and population number, were tested.
Efficiency of each scenario was estimated considering the control of increments in the mean inbreeding of the herds, as follows: [DELTA][F.sub.t] = ([F.sub.t] - [F.sub.t-1])/(t - [F.sub.t-1]) in which t = generation number; and [F.sub.t] = mean inbreeding coefficient for generation t (WRIGHT, 1922).
class="MsoNormalThe government has also been unable to introduce to the new generation number plates in what is viewed as internal wrangles at prisons department.
Combined with Figure 2, the convergence rate of the algorithm is much slow, and no obvious generation number of convergence can be found.
Initialize parameters [number of generations, number of groups of ants, number of ants, max number of features, pheromone value ([tau]), heuristic value ([eta]), pheromone evaporation rate ([rho]), local pheromone update parameter (Z), [alpha], [beta]] While Generation number not exceeded For each group of ants For each ant * Select a start distinct feature randomly * Calculate the classification accuracy for the initially randomly selected feature End for End for For each ant in each group of ants While assigned number of features not exceeded (max number of features) and accuracy can still be improved * Calculate the fitness value for each feature that can be selected using eq.
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