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Algorithm metrics results and engineering application data in the paper : Energy-Efficient Many-objective Flexible Flow-shop Scheduling Optimization Based on Positive Projection Grey Target Mechanism

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DataCite Commons2022-08-30 更新2024-07-03 收录
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https://data.4tu.nl/articles/_/19681959/2
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资源简介:
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 "Energy-Efficient Many-objective Flexible Flow-shop Scheduling Optimization 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,节能调度问题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《基于正投影灰靶机制(Positive Projection Grey Target Mechanism)的节能型多目标(Many-objective)柔性流水车间调度(Flexible Flow-shop Scheduling)优化》的算法性能指标结果与工程应用示例数据,旨在为读者深入理解该论文的研究内容提供便利。
提供机构:
4TU.ResearchData
创建时间:
2022-08-04
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