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Algorithm metrics results and engineering application data underlying the publication: Many-objective Optimization of Energy-Efficient Hybrid Flow-shop Scheduling Based on Positive Projection Grey Target Mechanism

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4TU.ResearchData2022-04-29 更新2026-04-23 收录
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https://data.4tu.nl/articles/_/19681959/1
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To achieve the goal of carbon-neutral, the energy-efficient scheduling has attracted the attention of many companies and researchers. This data set is the algorithm metrics results and engineering application example data of the paper "Many-objective Optimization of Energy-Efficient Hybrid Flow-shop Scheduling Based on Positive Projection Grey Target Mechanism". It is for the convenience of readers to better understand the paper.

为实现碳中和目标,节能调度已受到众多企业与科研人员的广泛关注。本数据集包含论文《基于正投影灰靶机理的节能混合流水车间调度多目标优化》中的算法指标结果与工程应用示例数据,旨在方便读者更好地理解该论文内容。
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2022-04-29
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