Multi-objective Scheduling Optimization for Hybrid Flow Shops with Limited Waiting Time and High Energy Consumption
In order to solve the hybrid flow shop scheduling problems with tight time and high en-ergy consumption process characteristics,a hybrid flow shop scheduling model was established with the objectives of optimizing product exposure time,maximum completion time,and energy consump-tion.An improved multi-objective particle swarm optimization algorithm was proposed to optimize the hybrid flow shop scheduling problems effectively.Firstly,based on ISDE indicator and a local neighbor-hood search strategy the archive maintenance strategy was constructed to assist the algorithm to jump out of local extreme values and reduce production congestion.Then,based on fuzzy theory a decision analysis method was proposed to select the optimal scheduling.Finally,by simulation experiments,the feasibility and superiority of the proposed multi-objective scheduling model and optimization algo-rithm were verified.
hybrid flow shop scheduling problemmulti-objective particle swarm optimization al-gorithmtight time constrainthigh energy consumption
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