Adaptive Population NSGA-III with Dual Control Strategy for Flexible Job Shop Scheduling Problem with the Consideration of Energy Consumption and Weight

نویسندگان

چکیده

The flexible job shop scheduling problem has always been the focus of research in manufacturing field. However, most previous studies focused more on efficiency and ignored energy consumption. Energy, especially non-renewable energy, is an essential factor affecting sustainable development a country. To this end, paper designs model with consideration line production Except for processing stage, consumption transport, set up, unload, idle stage are also included our model. weight property jobs considered heavier job, it consumes during unload stage. Meanwhile, invents adaptive population non-dominated sorting genetic algorithm III (APNSGA-III) that combines dual control strategy (NSGA-III) to solve Four instances formulated examine performance algorithm. results achieved by APNSGA-III method compared five classic multi-objective optimization algorithms. show proposed efficient powerful when dealing includes

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ژورنال

عنوان ژورنال: Machines

سال: 2021

ISSN: ['2075-1702']

DOI: https://doi.org/10.3390/machines9120344