中国机械工程 ›› 2025, Vol. 36 ›› Issue (03): 614-622,633.DOI: 10.3969/j.issn.1004-132X.2025.03.025

• 工程前沿 • 上一篇    下一篇

考虑结晶器在线调宽浇次计划的改进蚁群算法

李毅仁1,2;王柏琳1,2;袁帅鹏1,2*;李铁克1,2;王阳1,2   

  1. 1.北京科技大学经济管理学院,北京,100083
    2.钢铁生产制造执行系统技术教育部工程研究中心, 北京,100083
  • 出版日期:2025-03-25 发布日期:2025-04-23
  • 作者简介:李毅仁,男,1974年生,正高级工程师、博士研究生。研究方向为生产计划与调度。发表论文10余篇。E-mail:liyiren@hbisco.com。
  • 基金资助:
    国家自然科学基金(72301026, 71701016);教育部社科研究基金规划项目(23YJA630090)

An Improved Ant Colony Algorithm for Cast Plan Considering Online-width-adjustment Technology of Crystallizers

LI Yiren1,2;WANG Bailin1,2;YUAN Shuaipeng1,2*;LI Tieke1,2;WANG Yang1,2   

  1. 1.School of Economics and Management,University of Science and Technology Beijing,
    Beijing,100083
    2.Engineering Research Center of MES Technology for Iron & Steel Production Ministry of
    Education,Beijing,100083

  • Online:2025-03-25 Published:2025-04-23

摘要: 针对炼钢连铸调度中的浇次计划编制问题,结合结晶器在线调宽技术,以最小化加权成本(包括浇次间炉次切换成本、连铸机停机成本和结晶器在线调宽成本)为目标对传统模型进行改进,建立了新的浇次计划编制模型。同时,借鉴车辆路径问题的优化思路构建了改进的蚁群算法,算法设计了节点排序规则和节点选择规则,并引入奖惩因子和分位参数提高搜索广度和适应性。最后,利用实际生产数据验证了模型及算法的有效性。

关键词: 炼钢连铸, 浇次计划, 蚁群算法, 车辆路径问题, 奖惩因子

Abstract:  Aiming at the problems of cast planning in steelmaking-continuous casting scheduling, integrating the online width adjustment technology for the mold,with the objective of minimizing the weighted cost(including the furnace switching cost between heats, downtime cost for the continuous caster, and the online width adjustment cost for the mold), the traditional model was improved, resulting in the development of a new cast planning model. Meanwhile, inspired by the optimization approach used in the vehicle routing problem, an improved ant colony algorithm was proposed. The algorithm included node sorting and selection rules, and the reward-punishment factors and quantile parameters were incorporated to enhance the search breadth and adaptability. Finally, the effectivenesses of the proposed model and algorithm were validated by using real production data. 

Key words: steelmaking-continuous casting, cast plan, ant colony algorithm, vehicle routing problem, reward and punishment factor

中图分类号: