Comparison of multiobjective algorithms for the assembly line balancing design problem

The proposed article presents a planning method for a mixed-model line under consideration of product, processes and resources alternatives and addresses shortcomings in the current literature. In order to compare product and process alternatives and the impact of the line balancing and equipment selection, a detailed cost model is developed. Four resolution methods, belonging to the family of evolutionary algorithms and swarm intelligence, are proposed. Based on the fine tuning of their parameter values through a Design of Experiment, all algorithms are compared in order to highlight their strengths and weaknesses