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.