目的 为了提高拆卸效率，减少拆卸成本和拆卸能耗，提出一种基于社会工程算法的优化方法。方法 首先根据社会工程算法的原理设计了编码和解码方式，然后引入交换子和交换序列的概念，对算法中的训练和再训练、发现攻击和响应攻击等步骤进行设计，最后选取一个高速电子套结机作为实验对象进行了验证。结果 与其他多目标优化算法相比，具有良好的寻优能力。结论 提出的算法有效地解决了拆解线平衡问题，与其他算法相比具有更好的性能。

This paper aims to improve disassembly efficiency and reduce disassembly cost and disassembly energy consumption, and an optimization method based on a social engineering optimizer is proposed. Firstly, in this paper, the encoding and decoding method is designed according to the principle of social engineering optimizer. And then the concepts of swap sub and swap sequence are introduced. Next, the steps of training and retraining, discovering attack and responding to attack in the algorithm are designed. Finally, a high-speed electronic tacking machine is selected as the experimental objective for validation. This method has good optimization capacity compared with other multi-objective algorithms. The proposed algorithm effectively addresses the disassembly line balancing problem and has better performance compared with other algorithms.