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Step 7: Reproduction operator.
Hence, in this study, we utilized "tournament selection" as the reproduction operator.
Selection or the reproduction operator selects the chromosomes from the population based on their fitness.
Perform the reproduction operator according to the roulette wheel rule to make a new population.
The fitness function and the reproduction operator are the same as in Sect.
Reproduction operator Tournament selection is adopted as the reproduction operator in order to ensure not only the reproduction of better individuals but also the population diversity to a certain extent.
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EvoArch encodes topological configuration in the adjacency matrices of the graphs that they represent and its reproduction operators operate on these adjacency matrices.
In order to generate a new population the probability distribution is used instead of reproduction operators.
Currently, most of the multiobjective evolutionary algorithms (MOEAs) directly adopt the reproduction operators designed for the single-objective optimization.
The traditional reproduction operators, which are originally designed for single-objective optimization, are directly adopted in most state-of-the-art multi-objective evolutionary algorithms (MOEAs).
However, conventional reproduction operators designed for SOPs might not be suitable for MOPs due to the different optima structures between them.
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