The document presents a multi-objective ant colony algorithm called MACS to solve the 1/3 variant of the Time and Space Assembly Line Balancing Problem (TSALBP). MACS minimizes the number of stations and total station area given a fixed cycle time. It was tested on four problem instances and compared to random search and single-objective ACS algorithms. MACS with a 0.2 parameter performed best in converging to optimal Pareto fronts with more diversity. Current work involves improving MACS with multi-colony techniques and incorporating preferences. Future work includes local search and multi-objective genetic algorithms.