Multi-objective optimization method for distributed homogeneous hybrid flow-shop green scheduling
YAN Xue-song
ZHANG Jun-hua
HU Cheng-yu
Abstract：Under the background of the dual carbon goals,the development of the manufacturing industry faces both challenges and opportunities.In response to national policies,vigorously reducing carbon emissions,this paper focuses on the green scheduling problem of distributed hybrid flow shops.For factory workshops with the same processing capabilities,this paper constructs a green scheduling problem model for distributed homogeneous hybrid flow-shops.Combining the characteristics of actual factories,a formula for calculating carbon emissions during processing is provided.An improved NSGA-Ⅱ algorithm is proposed,including a hybrid initialization strategy,an update strategy,and a carbon reduction strategy to enhance the algorithm's performance.In the experimental validation of the algorithm,ablation studies were designed to verify the effectiveness of the proposed strategies.Additionally,comparative experiments with various advanced multi-objective optimization algorithms validate the effectiveness of the improved algorithm in solving this problem.
Keywords：distributed hybrid flow-shop schedulingdual carbon goalsmultiobjective optimizationNSGA-Ⅱ
Publication Date：2025-11-30
Online Publishing Date：2025-12-29(First online date of this platform, not the publication date of the document)
Pages：10( 2286-2295 )