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The operators of selection, crossover and mutation are applied to the initial population, and it stops when the Genetic Algorithm converges or reaches the maximum evolution step.
Determining the parameters of the basic genetic algorithm, including the gene number N g of individuals, and the value scope of the gene, the crossover probability p c, the mutation probability p m, the number of individuals in a population (population size) I m, and the maximum evolution step T m, among which the number of genes N g is determined by the number of optimization variables.
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The method is composed of three main steps: Convergence Step, Jump Step and Gradual Evolution Step.
The evolution step length is set to be 0.02.
The first one is the planner step and the second is the evolution step.
For a typical evolution, which requires 106 evolution steps, such an approach is impractical.
"This puts the behavioral evolution in step with the anatomical evolution," he said.
Determine the maximum step size: (9).
These last two steps are iterated until convergence or a maximum number of steps is reached.
a. Maximum number of steps is 16. b.
The maximum number of steps allowed was 100.
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