Abstract: To solve the problem of wasting energy in actual disassembly lines, and considering the constraints of fixed position, repulsion, compatibility, and others, we propose a disassembly-line optimization model to minimize disassembly energy consumption, disassembly cost and the equilibrium index. By defining an objective membership function, we transform this multi-objective problem into a fuzzy comprehensive optimization problem with a maximum degree of satisfaction. We also design an improved discrete fruit-fly algorithm to generate a neighborhood solution. To perform the olfactory operation, we use a mutation method, and to perform the visual operation, we update the current solution by filtering the optimal neighborhood solution. We adopt the global cooperative search mechanism to improve the global search ability and adopt the improved simulated annealing mechanism to avoid getting into the local optimum. A comparison of the algorithms shows that the proposed algorithm has better performance. Finally, we apply the algorithm to solve TV disassembly examples, and obtain two kinds of disassembly schemes. The results further confirm the feasibility of the proposed method and model.