Transactions of Materials and Heat Treatment

Title：Optimization on hot rolling load distribution by particle swarm optimization algorithm with constriction factor

Authors： Zhang Hanwen Zhong Zhaozhun Huang Hu

Unit： Soochow University Jiangsu Shagang Group Co. Ltd.

KeyWords： hot rolled strip steel load distribution particle swarm optimization algorithm constriction factor convergence accuracy convergence speed

ClassificationCode：TP18

year,vol(issue):pagenumber：2020,45(6):194-199

Abstract：

In order to improve the quality of hot rolled strip steel and the efficiency of production in actual production, the load distribution model that took into account both load balance and optimal sheet shape was established, and the load was preliminarily distributed by the traditional empirical method. Then, the constriction factor was introduced into the basic particle swarm optimization (PSO) algorithm, and the particle swarm optimization algorithm with constriction factor was proposed to optimize the initial distribution results. The results show that compared with the basic PSO algorithm, the introduction of constriction factor effectively controls the particle flight speed, improves the local search ability of PSO algorithm, and enhances the convergence accuracy and speed of the algorithm. The function test result shows that the PSO algorithm with the constriction factor has the best accuracy among the three types of benchmark functions. Furthermore, the simulation results of load distribution show that the above algorithm meets the requirements of rolling force and relative convexity very well and shows the superiority and effectiveness of PSO algorithm with constriction factor.

Funds：

国家自然科学基金资助项目（61304095）

张汉文（1994-），男，硕士研究生 E-mail：535171586@qq.com 通讯作者：仲兆准（1980-），男，博士，副教授 E-mail：nustzzz@163.com

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