RETRACTED: Improved seagull optimization algorithm combined with random division method to solve dynamic optimization problems (Retracted Article)

被引:1
|
作者
Xu, Le [1 ]
Mo, Yuanbin [1 ,2 ]
Lu, Yanyue [3 ]
机构
[1] Guangxi Univ Nationalities, Coll Artificial Intelligence, Nanning 530006, Peoples R China
[2] Guangxi Key Labs Hybrid Computat & IC Design Anal, Nanning 530006, Peoples R China
[3] Guangxi Univ Nationalities, Coll Chem Engn, Nanning, Peoples R China
基金
中国国家自然科学基金;
关键词
Dynamic optimization; cognitive part; random division method; chemical processes; function optimization; GENETIC ALGORITHM;
D O I
10.3233/JIFS-211855
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The numerical solution of dynamic optimization problem is often sought for chemical processes, but the discretization of control variables is a difficult problem. Therefore, we propose improved seagull optimization algorithm (ISOA) combined with random division method to solve dynamic optimization problems. Firstly, based on the analysis of the seagull optimization algorithm, this paper introduces the cognitive part in the process of a seagull's attack behavior to make the group approach the best position. Secondly, this paper uses the 14 benchmark test functions to verify ISOA. Finally, the improved seagull optimization algorithm is combined with the random division method to solve two chemical dynamic optimization problems. The experimental results show that ISOA algorithm has better performance in function optimization.
引用
收藏
页码:3579 / 3594
页数:16
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