In this paper, a new genetic mating scheme called Controlled Content Crossover (CCC) is proposed and applied to solve the optical network component allocation problem. In order to solve the constrained optimization problem, CCC finds the selected set of the components with the minimum cost while it keeps the total dispersion value of the answer within a double-sided limit. The simulation results show that CCC finds the optimum answer matching closely with CPLEX solution.