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We can observe that population size (factor (A)) has the largest effect as it explains 34.27 % of the variation in the response.
Thus, the training population size factor was not confounded with a change in selection intensity.
The per-locus demographic function depends on the population size factor as well, θ ^ k (t ) = p k θ (t ).
In addition let P = p1, p2,..., p k be the population size factor of g k, which accounts for any differences in ploidy and/or mode of inheritance among loci.
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The key parameters of control in DE are population size, scaling factor (F) and crossover rate (C R ).
Here, the population size, scaling factor (F), crossover constant (C R ) and maximum iteration number have been selected 10, 0.3, 1.0 and 50 respectively.
The population size, scaling factor, and crossover rate have been been selected as 400, 0.75 and 1.0 respectively in case of DE.
In case of DE, the population size, scaling factor (F), crossover constant (C R ) and maximum iteration number have been selected as 10, 0.3, 1.0 and 100 respectively.
Here, the population size, scaling factor (F), crossover constant (C R ) and maximum iteration number have been selected 100, 1, 1 and 300 respectively for this case.
In case of DE, the population size, scaling factor, and crossover rate have been selected as 100, 0.75, and 1.0 respectively for the test system under consideration.
Here, the population size, scaling factor (F), crossover constant (C R ) and maximum iteration number have been selected 10, 0.3, 1 and 100 respectively for the example under consideration.
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