关键词: 能耗优化, 离散果蝇优化, 拆卸线平衡, 层次分析法决策

Abstract: Aiming at the phenomenon of energy consumption and workload unbalance during the process of actual disassembly,a multi-objective disassembly line balance model was established to minimize the disassembly energy consumption,workstations number,smoothing index,hazard index and demand index.Combined with the characteristics of disassembly line balance problem,a multi-objective discrete fruit fly algorithm based on Pareto was designed.A single point mutation operation was used in the olfactory search stage,and the optimal neighborhood solution was filtered to update the individual in the visual search stage.To strengthen the global optimization ability of algorithm,the global cooperation mechanism was implemented by performing the two-point crossover operation.To improve the convergence effect,the elite strategy was used to maintain the non-inferior solutions in the external file.The effectiveness of the proposed algorithm was verified by solving the disassembly examples of different sizes and the solving results were compared with the existing algorithms.Through applying the proposed algorithm to solving a certain type of TV disassembly instance involving 27 tasks,12 non-inferior solutions were obtained,and the most satisfactory solution was selected by sorting Pareto solutions with analytic hierarchy process.The results further identified the feasibility and effectiveness of the proposed method and model.

Key words: energy consumption optimization, discrete fruit fly algorithm, disassembly line balance, analytic hierarchy process decision