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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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DataCite Commons2022-08-30 更新2024-07-03 收录
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https://data.4tu.nl/articles/_/19681959/1
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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 "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.
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4TU.ResearchData
创建时间:
2022-04-29
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