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Using a mutation operator, a few genes of a candidate chromosome are randomly selected to change their values based on a predetermined mutation probability of pm.
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The "uniform mutation" is used as a mutation operator to avoid overly fast convergence problems.
During each iteration, a second new population is formed from an existing population through the use of a mutation operator.
In this work a comparative analysis of the effects of using an adaptive mutation operator is presented in the operational framework of a multi-objective GA for the design and selection of electrical load management strategies.
DE is similar to realGA regarding selection and crossover, but uses a special mutation operator that is based on differences between population individuals.
Table 2 also shows the p values of the t test with a confidence level of 0.05 on the best solution value between HGA without a mutation operator and with a mutation operator using different mutation probabilities for the instances.
We initialise the GA population with randomly generated valid structures using the procedure shown in Algorithm 7. As noted before, our GA uses a macro-mutation operator that tries to take the search towards forming a hydrophobic core.
Then, by using the mutation operator (which is a probability type), all the offspring will be mutated.
Inspired by the classical PSO method and quantum mechanics theories, this work presents a novel Quantum-behaved PSO (QPSO) using chaotic mutation operator.
1- Merging two chromosomes using crossover operator 2- Changing chromosomes using mutation operator .
As a standard it uses the mutation operator based on the normal probability distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com