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And, crossover probability and mutation probability are adjusted dynamically by fuzzy inferences, which are developed according to the heuristic fuzzy relationship between algorithm performances and control parameters.
The proposed IAGA is inspired from hormone modulation mechanism, and then the adaptive crossover probability and adaptive mutation probability are designed.
The analyses demonstrated that the setting of population size has clear effects to the solution; the effects of crossover probability and mutation probability are less than the effects of their combinations.
However, SGA may also result in equally good realization, if the algorithm evolves for more number of iterations or optimized values of crossover and mutation probability are used.
In present work, the above process is simulated with a population size of 60, selection type is tournament, pareto front population fraction, crossover and mutation probability are selected to be 0.35, 1 and 0.001, respectively.
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The Mutation Probability is the probability that each gene from a child will be mutated.
A mutation probability is also specified, which can randomly alter the children's genes.
In HDNA-GA, three new crossover operators, replacement operator, transposition operator and reconstruction operator, are designed to improve the population diversity, and the mutation operator with adaptive mutation probability is applied to guarantee against stalling at local peak.
The mutation probability is set as low as 0.3.
Thus, an adaptive mutation probability is employed to ensure the searching ability.
In ACAGATATA, mutation probability is the same along a DNA segment submitted to sequential copying rounds.
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