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Then, in some special cases, we design explicitly both the eigenvalues and the offspring vector of the Leslie matrix in a consistent way.
Component-wise, the offspring vector u j (t) receives a parameter value from the mutant vector with probability C (the "crossover" probability) or from the parent vector with probability 1− C: u i, j (t ) = v i, j (t ) if rand 0,1) ≤ C x i, j (t ) otherwise i = 1, 2, …, D and j = 1, 2, …, N, where rand (0,1) is a random number chosen uniformly from the interval [0,1].
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During crossover, an element in the offspring s vector was assigned the same value as the corresponding elements in the parent s vectors if the values were the same in both parents.
Locating optimal structural designs using evolutionary algorithms is a task associated with high computational cost, since a complete finite element (FE) analysis needs to be carried out for each parent and offspring design vector of the populations considered.
The difference between the two offspring genotype vectors has an expected value of zero at each locus, under the null hypothesis of no linkage or no association with the disease locus under study.
Second, μ additional individuals are produced by recombination; each individual in the parent population produces an offspring with parameter vector by recombination between its own parameter vector, the next fittest individual's parameter vector, and the fittest individual's parameter vector, using the equation (7) where λ is the recombination factor.
Capozzo et al. [ 24] reported that it was workable to vaccinate female mice with the DNA vaccine pTET1pp encoding tetanus toxin fragment C (Frag C), and their offspring with the Samonella vector carrying plasmid pTET1pp by nasal drip.
Next, in order to form the first offspring, all the row vectors before the crossover point of the first matrix will combine with the row vectors after the crossover point of the second matrix.
Inheriting the merits of mutation of differential evolution (DE), the proposed CBDX is a multi-parent recombination operator for generating offspring based on a parent vector and two parent center vectors.
During the reproduction step, each "parental" parameter vector generates an "offspring" parameter vector, which differs from the parent by a process of "diversification".
The -ES consisted of 80 parent individuals (a real-valued vector), which produced 100 offspring by means of adding Gaussian distribution (normal distribution) random numbers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com