Final answer:
In Evolutionary algorithms, constraints can be implemented by penalizing the objective function when constraints are violated, which is a true statement.
Step-by-step explanation:
When using Evolutionary algorithms, constraints can indeed be implemented by penalizing the objective function value when constraint conditions are violated. This statement is true. In implementing constraints using a penalty function, the idea is to add a penalty term to the objective function for any violation of the constraints. The penalty typically increases the objective function value, thereby making the solution less favorable in the evolutionary process. This serves to discourage selection of solutions that violate the constraints and helps to guide the algorithm toward feasible solutions within the defined constraints.