Multi-Objective Evolutionary Rule-Based Classification with Categorical Data

. 2018 Sep 7;20(9):684. doi: 10.3390/e20090684

Algorithm 7 Self-adaptive crossover.

Require:I, J {Individuals for crossing}
Require:

p_{v}

(

0 < p_{v} < 1

) {Probability of variation}
Require:

δ > 0

{Number of different crossover operators}

1:
if a random Bernoulli variable with probability $p_{v}$ takes the value 1 then
2:
$d_{I} \leftarrow$ Random(0, $δ$ )
3:
end if
4:
$d_{J} \leftarrow d_{I}$
5:
Carry out the type of crossover specified by $d_{I}$ :

{0: No cross}

{1: Rule crossover}

{2: Rule incremental crossover}