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Crossover is the main genetic operator.
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Step 4: Genetic operator.
Adopting the powerful genetic operator in the genetic algorithm, a novel genetic algorithm for aligning is proposed.
For the genetic operator, only crossovers are considered here, as they all have the ability to introduce new genetic material.
The evolution method used in this algorithm includes a novel genetic operator named "Similarity Operator" alongside the standard operators (i.e. Mutation and Crossover).
To further enhance the exploration, genetic operator is embedded into the HMOGWO.
The main steps of the proposed HSA embedded with genetic operators are as follows.
Due to the special nature of the chromosomes involved in this generation process, the design of the genetic operators able to deal with it becomes a main task.
Genetic operators: genetic operators are used during the reproduction stage.
The crossover and mutation operators are two important genetic operators.
A customized genetic algorithm with suitable genetic operators is used for generating the optimal feed profiles.
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