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

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。

搜集汇总

背景与挑战

背景概述

该数据集提供算法指标结果和工程应用数据，用于支持一篇关于能源效率多目标柔性流水车间调度的论文，旨在促进碳中和目标。数据集包含一个Excel文件，涵盖制造工程和环境可持续制造领域，由福州大学先进制造学院发布，具有较高访问量。