ZHANG L P, FU W R, TANG Q H, et al.Energy-efficient scheduling rules mining for flexible job shop via improved gene expression program[J].Journal of Henan Polytechnic University(Natural Science) ,2022,41(5):96-104.

doi:10.16186/j.cnki.1673-9787.2021030104

Received:2021/03/31

Revised:2021/06/19

Published:2022/09/25

Energy-efficient scheduling rules mining for flexible job shop via improved gene expression program

ZHANG Liping1,2, FU Weiran1,2, TANG Qiuhua1,2, GUO Shichao1,2

1.Key Laboratory of Metallurgical Equipment and Control Technology， Wuhan University of Science and Technology， Wuhan  430081， Hubei， China；2.Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering， Wuhan University of Science and Technology， Wuhan  430081， Hubei， China

Abstract:Modern manufacturing industries have been facing on the global market completion and the environmental pressure，this prompts that flexible manufacturing system should be lower carbon and more efficient.Taking energy-efficient flexible job shop problem as the study object，an energy-efficient scheduling model with machine off-on decision making strategy was constructed.After analyzing the problem，it was found that process continuity among operations was helpful to reduce total energy consumption.To this end，an improved gene expression program with inverse activity scheduling strategy was proposed to mine new dispatching rules.This strategy tried to reduce the idle time without delaying makespan.The experimental results showed that the new dispatching rule was superior to other dispatching rules.At the same time，inverse activity scheduling strategy could enhance energy-efficient level significantly.

Key words:energy-efficient scheduling;flexible job shop;inverse activity scheduling strategy;gene expression programming
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