The feeder allocation opitimization of the surface mounting machine is considered under the condition that the
components mounting sequence of known. A mathematical model is presented with the objective is minimizing the distance
of the header along with the feeder slot. A new hybrid algorithm of ant-colony algorithm and genetic algorithm is proposed
to solve the problem, and the interated swap procedure, the crossover operator and mutation operator of genetic algorithm
are applied to the results of ant colony algorithm. To verify the efficiency of the algorithm, experimens on 20 PCBs instances
are executed, and the results show the algorithm can make an improvement 4.48 % on the single genetic algorithm.