Research on disassembly depth optimization for waste smartphones based on improved TLBO algorithm
Aiming at the problem that the existing disassembly depth decision method cannot objectively and accurately obtain the optimal disassembly depth of waste smartphones,a disassembly depth optimization method for waste smartphones based on im-proved Teaching-Learning-Based Optimization(TLBO)algorithm was proposed.The disassembly profit model,disassembly time model and disassembly energy consumption model were established and the disassembly depth optimization target was determined,an optimal disassembly depth solution set was obtained by the improved TLBO algorithm.The disassembly process of Xiaomi 5 was selected as an example to verify the effectiveness of the proposed method.The result show that the optimal solution search ability and the convergence speed of the proposed method are enhanced.
disassembly depthdisassembly model of waste smartphonesCircle chaotic mapTLBO algorithmmulti-objective op-timization
万方数据
维普
