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Three key design problems are investigated for this new algorithm, i.e., how to encode the problem in genetic representation, how to avoid the illegal chromosomes in the process of population initialization and genetic operation, and how to design effective genetic operator.
The genetic operation usually consists of inheritance, mutation, and crossover.
The algorithm applies genetic operation to cluster on links.
The GA process is iterative and includes initialization, selection, and genetic operation.
The simple GA cycle comprises of three stages of selection, genetic operation, and replacement.
However, all the gene positions of the node gene are involved in the genetic operation.
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The other is fuzzy genetics-based machine learning where rule sets are evolved by genetic operations.
Genetic operations (crossover, mutation).
(4) Breed a new generation through crossover and mutation (genetic operations) and give birth to offspring.
The individuals will evolve generation by generation through genetic operations such as reproduction, crossover, and mutation.
The structural representation imitates the biological evolution of living organisms, and emulates naturally occurring genetic operations.
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