Sentence examples for size crossover rate from inspiring English sources

De Jong's key work evaluated four parameters: population size, crossover rate, mutation rate, and generation gap [12].

Design of experiments is used to adjust the parameters of the proposed MA and GA algorithms including the population size, crossover rate, and mutation rate.

Note that the performance of GAs is affected by primary parameters, including number of generations, population size, crossover rate, and mutation rate [ 34, 35 ].

The NSGA-II algorithm, in turn, used a mutation rate of 1/population size, crossover rate of 0.9, and population size of 200 individuals.

An explicit mathematical formulation is not required in implementation and, the parameter values, such as; population size, crossover rate and mutation rate are appropriately chosen to maintain the desired accuracy in the solution.

The values of the parameters of the evolutionary algorithm (population size, crossover rate, mutation scheme, and number of generations) have been found to obtain a quite good tradeoff between design time and performance for the experiments carried out in this paper.

The procedure of the HGA is described as follows: After the GA parameters, such as the iteration number, the population size ( P size ), the crossover rate, and the mutation rate, have been set, the HGA generates the initial chromosomes of the problem.

The suggested guidelines were population size: 50-100; crateover rate: 0.6; and mutation rate: 0.001.

The parameters of the HGA for the problems are population size 20, crossover rate 0.5 and mutation rate 0.2.

The optimization procedure is performed in Matlab with following configuration: population size: 150, crossover rate: 0.4, generation number: 50.

To carry out the optimization procedure, the GA parameters population size (pop), crossover rate ((p_mathrm{c})), mutation rate ((p_mathrm{m})), genome length (l), and cluster center matrix (V) are initially set.