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First selection of individuals is carried out using a binary tournament selection operator.
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Find object using a binary search.
If the best solution so far is improved at generation t, population size should not be changed as the population performs good in finding good solutions; otherwise, population size is reduced by size 2. When eliminating a solution from population, a binary tournament selection is used.
A binary tournament selection and combination is carried out. 5.
Else, a binary tournament selection is performed with replacement on P, in order to fill the temporary mating pool P ′ (Line 14).
Dunn uses a binary relation, C, on worlds.
We used a binary scale (yes/no).
We use a binary quantile discretization.
Instead, crossover is applied with probability of 0.8 for each individual of the population and a mate is selected using binary tournament.
In an evolutionary cycle of the NSGA-II, a mating pool is first created and filled using binary tournament selection.
Offspring population Q0 of size N is created by using binary tournament selection operator, crossover operators and mutation operators.
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