.png){kind=icon}
返回
A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem
.png){kind=icon}
PRE
AI
DOI：10.1016/j.asoc.2022.108694.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Because of global manufacturing, the foundry production workshop has shifted from single-factory production to multi-factory production. The distributed flexible job-shop scheduling problem is studied in this paper, and a distributed sand casting job-shop scheduling problem optimization model is established. To solve this model, this paper proposes a hybrid teaching-learning-based optimization (HTLBO) algorithm that involves a three-layer coding solution and a variety of strategies for population initialization. The HTLBO consists of the teacher learning phase, teaching phase, and learning phase. To improve the quality of teachers in the proposed algorithm, this paper sets the dynamic teacher group and adopts the tabu search based on the critical path and key blocks to increase the number of teachers in the dynamic teacher group and conduct the process of the teacher learning phase. In the teaching and learning phase, a variety of crossover operators for teaching and learning operations is designed to realize the process of teaching and learning. Finally, the experimental results of a real sand casting enterprise case indicate that the proposed algorithm performs better than the other six algorithms. (C) 2022 Elsevier B.V. All rights reserved.
Keyword:
Hybrid teaching-learning-based optimization algorithm
Different process routings sand casting factory
Distributed flexible job-shop scheduling problem
Three-layer encoding solution
Elastically start processing time constraint interval
期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
机构
引用论文
Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system基于教学优化算法的模糊PID控制器，用于多区域电力系统的自动发电控制
.png){kind=icon}
PREAI
分享收藏A hybrid TLBO-TS algorithm for integrated selection and scheduling of projects用于项目集成选择和调度的混合tlbo-ts算法
PREAI
分享收藏Using a multi-agent system to optimise resource utilisation in multi-site manufacturing facilities
PREAI
分享收藏Application of genetic algorithms with dominant genes in a distributed scheduling problem in flexible manufacturing systems带显性基因的遗传算法在柔性制造系统分布式调度问题中的应用
PREAI
分享收藏分享收藏
查看更多内容