A Hybrid Algorithm Based on Seeker Optimization Algorithm and Salp Swarm Algorithm for PID Parameters Optimization

Authors

Shaomi Duan, 1.The Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China;2.The Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;Follow
Huilong Luo, 1.The Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China;Follow
Haipeng Liu, 2.The Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;

Abstract

Abstract: Aiming at the premature convergence of seeker optimization algorithm(SOA) during optimizing the global problems, a new SOA-SSA hybrid algorithm based on seeker optimization algorithm and salp swarm algorithm (SSA) is proposed.The SOA-SSA algorithm is based on a double population evolution strategy, in which some individuals of the population are evolved by seeker optimization algorithm and the rest are evolved from salp swarm algorithm. The individuals in SOA and SSA both employ an information sharing mechanism to realize the coevolution. These strategies increase the diversity of the population and avoid the premature convergence. The experimental results show that the proposed algorithm can be used in both the high-dimensional cases and the PID control parameter optimization. Compared to the other eleven algorithms, the SOA-SSA has the higher, convergence speed, precision and robustness, and has a better optimization performance.

Recommended Citation

Duan, Shaomi; Luo, Huilong; and Liu, Haipeng (2022) "A Hybrid Algorithm Based on Seeker Optimization Algorithm and Salp Swarm Algorithm for PID Parameters Optimization," Journal of System Simulation: Vol. 34: Iss. 6, Article 6.
DOI: 10.16182/j.issn1004731x.joss.20-1036
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss6/6

First Page

1230

Revised Date

2021-06-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-1036

Last Page

1246

CLC

TP391

Recommended Citation

Shaomi Duan, Huilong Luo, Haipeng Liu. A Hybrid Algorithm Based on Seeker Optimization Algorithm and Salp Swarm Algorithm for PID Parameters Optimization[J]. Journal of System Simulation, 2022, 34(6): 1230-1246.

Corresponding Author

Huilong Luo,huilongluo@kmust.edu.cn

DOI

10.16182/j.issn1004731x.joss.20-1036