基于改进鲸鱼优化算法的AGV柔性作业车间多目标优化调度OA北大核心CSTPCD

Aiming at the problem of Automated Guided Vehicle(AGV)scheduling in flexible job shop,based on the sustainable perspective,considering the problem of workshop energy consumption,under the condition of the number of machines and AVG,a sustainable flexible job shop scheduling model is constructed with the optimization objectives of minimizing the maximum comple-tion time,workshop energy consumption and the number of AGV used.Firstly,an Improved Whale Optimization Algorithm(IWOA)was designed,which introduced a nonlinear convergence factor and adaptive inertia weight on the basis of the standard whale optimization algorithm to improve the search ability and convergence speed of the algorithm.Secondly,the fuzzy membership theory was used to construct the loss function to obtain the optimal compromise solution of the multi-objective model.Finally,the performance of the algorithm was verified based on examples.The experimental results show that IWOA shows good effects in sol-ving instances of different sizes,which provides an effective practical way for solving the sustainable flexible job shop optimization scheduling with AGV transportation.