In order to solve the flexible job shop scheduling problem with variable batches,we propose an improved multiobjective optimization algorithm,which combines the idea of inverse ***,a flexible job shop problem with the...
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In order to solve the flexible job shop scheduling problem with variable batches,we propose an improved multiobjective optimization algorithm,which combines the idea of inverse ***,a flexible job shop problem with the variable batches scheduling model is ***,we propose a batch optimization algorithm with inverse scheduling in which the batch size is adjusted by the dynamic feedback batch adjusting ***,in order to increase the diversity of the population,two methods are *** is the threshold to control the neighborhood updating,and the other is the dynamic clustering algorithm to update the ***,a group of experiments are carried *** results show that the improved multi-objective optimization algorithm can ensure the diversity of Pareto solutions effectively,and has effective performance in solving the flexible job shop scheduling problem with variable batches.
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