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The mutation process creates a new separate population of the mutated individuals.
The next step after forming the new generation is the mutation process.
To illustrate the mutation process, consider again Fig. 5 and the test case of Fig. 6.
Mutation The mutation process takes place on some selected solutions from the mating pool.
The mutation process is meant to maintain diversity between current and subsequent generations (Glover and Kochenberger 2003).
For example, the mutation rate of 0.03 indicates that 3 chromosomes out of total chromosomes undergo the mutation process.
In the DE algorithm, initially, the mutation process is performed on the individuals, after which the crossover process is done.
The mutation process allows an individual with larger fitness to produce more offspring for the next generation.
The mutation rate indicates that how many chromosomes out of the total chromosomes undergo the mutation process.
In this study, our GA applies a stochastic hill climbing procedure in the mutation process of the GA.
A two phase heuristic procedure is developed to generate a complete feasible solution from the output of the mutation process.
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