Optimal proportioning of iron ore in sintering process based on improved multi-objective beluga whale optimisation algorithm

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外文摘要：Proportioning is an important part of sintering,as it affects the cost of sintering and the quality of sintered ore.To address the problems posed by the complex raw material information and numerous constraints in the sintering process,a multi-objective optimisation model for sintering proportioning was established,which takes the proportioning cost and TFe as the optimisation objectives.Additionally,an improved multi-objective beluga whale optimisation(IMOBWO)algorithm was proposed to solve the nonlinear,multi-constrained multi-objective optimisation problems.The algorithm uses the con-strained non-dominance criterion to deal with the constraint problem in the model.Moreover,the algorithm employs an opposite learning strategy and a population guidance mechanism based on angular competition and two-population competition strategy to enhance convergence and population diversity.The actual proportioning of a steel plant indicates that the IMOBWO algorithm applied to the ore proportioning process has good convergence and obtains the uniformly distributed Pareto front.Meanwhile,compared with the actual proportioning scheme,the proportioning cost is reduced by 4.3361 ¥/t,and the TFe content in the mixture is increased by 0.0367％in the optimal compromise solution.Therefore,the proposed method effectively balances the cost and total iron,facilitating the comprehensive utilisation of sintered iron ore resources while ensuring quality assurance.

外文关键词：

Sintering processProportioningIron oreMulti-objective beluga whale optimisation algorithmProportioning cost

作者：

Zong-ping Li、Xu-dong Li、Xue-tong Yan、Wu Wen、Xiao-xin Zeng、Rong-jia Zhu、Ya-hui Wang、Ling-zhi Yi

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作者单位：

Zhongye Changtian International Engineering Co.,Ltd.,Changsha 410205,Hunan,China

College of Automation and Electronic Information,Xiangtan University,Xiangtan 411105,Hunan,China

College of Electrical and Information Engineering,Hunan University,Changsha 410082,Hunan,China

基金：

National Key Research and Development Program of ChinaHunan Province Natural Science FoundationHunan Province Natural Science FoundationHunan Province Natural Science Foundation

项目编号：

2022YFB33047002022JJ501322022JCYJ052022JCYJ09

出版年：

2024

DOI：

10.1007/s42243-023-01173-3

钢铁研究学报(英文版)

钢铁研究总院

钢铁研究学报(英文版)

CSTPCD

影响因子：0.584

ISSN：1006-706X

年,卷(期)：2024.31(7)