Multi-objective assembly line balancing via a modified ant colony optimization technique
提出一种改进的蚁群优化技术，同时优化装配线平衡中的工人数量、系统利用率、完工概率和设计成本，并与单目标方法比较，显示多目标方法在整体性能和信息丰富度上的优势。
A technique derived from ant colony optimization is presented that addresses multiple objectives associated with the general assembly line-balancing problem. The specific objectives addressed are crew size, system utilization, the probability of jobs being completed within a certain time frame and system design costs. These objectives are addressed simultaneously, and the obtained results are compared with those obtained from single-objective approaches. Comparison shows the relative superiority of the multi-objective approach in terms of both overall performance and the richness of information.