One should not lose out of sight the mathematical constraints when resolving optimization problems. In the case of evolutionary algorithms, which is the topic of this article, the constraints are included as penalty costs in the given objective function, such that the violation of one of the imposed constraints provokes an increase in the value of the
objective function. This increase is sufficiently high to render the corresponding solutions unacceptable