An Improved Atomic Search Algorithm

Authors

Jianfeng Li, School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150000, China;Follow
Di Lu, School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150000, China;Follow
Hexiang Li, School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150000, China;

Abstract

Abstract: The atom search algorithm (ASO) is a new optimization algorithm proposed by imitating the movement of atoms in the natural world. An improved atomic search algorithm (IASO) is proposed to address the problems of prematureness and slow convergence of ASO in solving complex functions. IASO adds the binding force generated by the historical optimal solution of individual atoms to correct the acceleration of ASO and enhance the global search capability. The two multiplier coefficients are adaptively updated to coordinate the algorithm's global search and local development capabilities. The Gaussian mutation strategy is used to re-update the atomic position and improve the ability to jump out of precocity. Carrying out simulation experiments on 14 benchmark functions and comparing other algorithms, IASO shows superior performance in terms of convergence speed and convergence accuracy.

Recommended Citation

Li, Jianfeng; Lu, Di; and Li, Hexiang (2022) "An Improved Atomic Search Algorithm," Journal of System Simulation: Vol. 34: Iss. 3, Article 7.
DOI: 10.16182/j.issn1004731x.joss.20-0824
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss3/7

First Page

490

Revised Date

2021-02-06

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0824

Last Page

502

CLC

TP301.6

Recommended Citation

Jianfeng Li, Di Lu, Hexiang Li. An Improved Atomic Search Algorithm[J]. Journal of System Simulation, 2022, 34(3): 490-502.

Corresponding Author

Di Lu,ludizeng@hrbust.edu.cn

DOI

10.16182/j.issn1004731x.joss.20-0824