Steelmaking and continuous casting scheduling based on hybrid teaching-learning-based optimization algorithm

被引：0

作者：

Ma, Wen-Qiang ^{[1
]}

Zhang, Chao-Yong ^{[1
]}

Tang, Qiu-Hua ^{[2
]}

Shao, Xin-Yu ^{[1
]}

Jia, Yan ^{[3
]}

机构：

[1] State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan

[2] College of Mechanical Automation, Wuhan University of Science and Technology, Wuhan

[3] School of Mechanical Engineering and Automation, Xihua University, Chengdu

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2015年 / 21卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Casting; Furnace; Mapping rule; Steelmaking and continuous casting; Teaching-learning-based optimization algorithm;

D O I：

10.13196/j.cims.2015.05.014

中图分类号：

学科分类号：

摘要：

According to the real-world process environment, a no-wait multi-process steelmaking and continuous casting scheduling model -was built. A hybrid Teaching-Learning-Based Optimization (TLBO) algorithm was introduced to solve this model. TLBO algorithm with mapping rule was used for solving discrete problems. By using Variable Neighborhood Search (VNS), machine selection was adjusted, and TLBO was used to adjust scheduling sequences. With testing for cases, the results of manual scheduling method, genetic algorithm, TLBO and hybrid TLBO were compared with each other to verify the effectiveness and feasibility of proposed algorithm. ©, 2015, CIMS. All right reserved.

引用

页码：1271 / 1278

页数：7

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