| 引用本文: | 王玉芳,郑明波,张艺,华晓麟,章殿清.考虑预保养的多时间约束柔性作业车间绿色调度[J].控制理论与应用,2025,42(12):2598~2612.[点击复制] |
| WANG Yu-fang,ZHENG Ming-bo,ZHANG Yi,HUA Xiao-lin,ZHANG Dian-qing.Flexible job-shop green scheduling with multiple time constraints considering pre-maintenance[J].Control Theory & Applications,2025,42(12):2598~2612.[点击复制] |
|
| 考虑预保养的多时间约束柔性作业车间绿色调度 |
| Flexible job-shop green scheduling with multiple time constraints considering pre-maintenance |
| 摘要点击 123 全文点击 16 投稿时间：2025-04-25 修订日期：2025-10-15 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.50183 |
| 2025,42(12):2598-2612 |
| 中文关键词 柔性作业车间绿色调度 多时间约束 能耗可变 预保养 多目标优化 |
| 英文关键词 flexible job-shop green scheduling multiple time constraints variable energy consumption premainte nance multiobjective optimization |
| 基金项目 国家自然科学基金项目(51705260)资助. |
|
| 中文摘要 |
| 考虑到绿色生产中模具切换、工件运输以及加工负载对机器能耗的影响,将模具设置时间、工件运输时
间、可变机器能耗以及预保养机制纳入调度问题模型.建立以最小化完工时间、能耗和总噪声为目标的柔性作业车
间绿色调度模型,并提出基于目标平衡的Jaya算法进行求解.考虑多目标优化初始种群质量对进化效率的影响,设
计一种混合初始化策略,加强初始种群目标间的平衡,加快算法的收敛速度.为所有非最优个体设计一种多样化的
Jaya优化算子,增加种群多样性,提高算法的全局搜索能力.为了避免算法陷入局部最优,提高解的分布性,设计了3
种基于目标平衡的局部搜索策略.通过消融实验验证所提策略的有效性,与其他算法的实验对比结果验证了所提算
法的优越性. |
| 英文摘要 |
| Considering the requirements for mold switching, job transportation and the impact of processing load on
machine energy consumption in green production, the setting time, transportation time, variable machine energy consump
tion and the pre-maintenance mechanism are incorporated into the scheduling problem model. A flexible job-shop green
scheduling model is established with objectives of minimizing the completion time, energy consumption and total noise.
The Jaya algorithm based on objective balance is proposed to solve it. Considering the influence of the initial population
quality on the evolutionary efficiency, a hybrid initialization strategy is designed, which enhances the objective balance of
the initial population and accelerates the convergence speed of the algorithm. For all non-optimal individuals, a diversified
Jaya optimization operator is put forward to increase population diversity and global search capability. To prevent the algo
rithm from getting stuck in a local optimum and enhance the distribution of the solutions, three local search strategies based
on objective balance are designed. The effectiveness of the proposed strategies is verified through ablation experiments.
The experimental comparison results with four algorithms have demonstrated the superiority of the proposed algorithm. |
|
|
|
|
|