Research on the optimization algorithm of sintering ingredients

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Sun, Lihui^1 ; Wu, Xiaojing^1 ; Wang, Ce^1 ; Shi, Zhengjie^1

Hebei University of Economics and Business, Shijiazhuang, Hebei, China^1

关键词: Current research status;    Key links;    Large-scale problem;    Optimization algorithms;    Particle swarm algorithm;    Sintering burdens;    Sintering process;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/2/022089/pdf
DOI  :  10.1088/1757-899X/382/2/022089

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

This paper analyzes the current research status of steel sintering ingredients at home and abroad, and compares the optimization algorithms used in sintering ingredients. The linear programming method has been relatively mature, easy to operate; But to solve the complex and nonlinear large-scale problem, the genetic algorithm, particle swarm algorithm are more efficient. The sintering burden process is an important part of the sintering process, and the optimization algorithm is the key link in the process of sintering burden studies. In the future research, the advantages of each optimization algorithm can be combined to solve the problem of ingredients better.