To handle multi-objective programming problems with both equality and inequality constraints, we propose a new aggregate homotopy interior-point algorithm in which the continuous inequality constraints are approximated by smooth aggregate functions. Under a more generalized weak normal cone condition, we prove that for almost any point in the feasible region, there exists a homotopy path that converges to the Karush-Kuhn-Tucker point of the multi-objective programming problem. Numerical examples show that this method is effective and easy to implement