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There are mainly five components in GA: the random number generator, fitness evaluation, reproduction operation, crossover operation, and mutation operation.
Although the reproduction operation can preserve the best existing individuals, it does not create any new individuals.
To further promote the design performance, genetic algorithm with variable-length chromosomes and relative-based mutated reproduction operation is proposed.
To show the efficiency of this dynamic fuzzy network designed by genetic algorithm with variable-length chromosomes and relative-based mutated reproduction operation, two temporal problems are simulated.
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Using the crossover and reproduction operations a new generation is created.
(b) Create a new population of chromosomes by applying the crossover and reproduction operations with probability given by the fitness of individual chromosomes.
The operation operator of genetic algorithm and binary ant colony algorithm is composed of four operators that is reproduction operator, crossover operator, mutation operator, and pheromone update operator.
Step 7: Reproduction operator.
This allowed for the reproduction of real operation conditions and the construction of the research station.
Therefore, great significance is given to reproduction of real operation conditions in tests.
Regardless of the coding method used, the GA consists of three basic operations: reproduction, crossover or mating, and mutation.
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