We formulate a regularized penalty function solution for the multi-objective constrained problem.

We prove that exists a solution of the original problem with minimal weighted norm which is unique.

We suggest a projection-gradient algorithm for computing the penalty function.

We prove the convergence of the gradient method and the rate of convergence.

We present a method that make the Pareto frontier more useful as decision support system.