Extension of evolutionary algorithms to constrained optimization

Abstract

Optimization problems from the industrial world must often respect a number of constraints. These are expressed as a set of relationships that the variables of the objective function must satisfy. These relationships are usually presented as equalities and inequalities that may be very hard to deal with.