基于多子群目標分段差分進化的多目標熱連軋負荷分配

留言板

尊敬的讀者、作者、審稿人, 關于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復。謝謝您的支持!

姓名

郵箱

手機號碼

標題

留言內容

驗證碼

基金項目:

國家高技術專項項目(No.2005-1)

北京市教委重點學科控制理論與控制工程項目(No.XK100080537)

Multi-objective load distribution of hot strip mills based on multi-swarm and sub-objective differential evolution

1. School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China;
2. Key Laboratory for Advanced Control of Iron and Steel Process(Ministry of Education of China), University of Science and Technology Beijing, Beijing 100083, China

摘要: 針對熱連軋負荷分配的目標函數處理中采用的加權系數不好確定的問題,設計了一種多子群目標分段優化的差分進化算法.每個子群優化目標函數的一個子目標,子群之間獨立進化,不但解決了加權系數問題,并且提高了算法的收斂速度和精度.最后,算法的有效性通過仿真進行了驗證.
- 熱軋機 /
- 負荷分配 /
- 多目標優化 /
- 優化算法 /
- 差分進化
Abstract: A differential evolution algorithm based on multi-swarm and sub-objective optimization is presented in order to solve the difficulty in selecting the weighting coefficients in processing the objective function of hot strip mills.Each sub-swarm optimizes a sub-objective and evolves independently.This not only solves the issue of weighting coefficients,but also increases the convergence speed and accuracy.Finally,the algorithm's effectiveness is verified by simulation.
- hot rolling mills /
- load distribution /
- multi-objective optimization /
- algorithms /
- differential evolution