An improved particle swarm optimization algorithm with enhanced interference

Xiangyu Ba

doi:10.47297/taposatWSP2633-456911.20240506

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An improved particle swarm optimization algorithm with enhanced interference

Volume 5, Issue 6

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An improved particle swarm optimization algorithm with enhanced interference
An improved particle swarm optimization algorithm with enhanced interference
Graduate School, Criminal Investigation Police University of China, Shenyang, 110854, China
Vol. 5, Issue 6, Pages: 74-78(2024)
Published： 19 December 2024 ，
DOI：10.47297/taposatWSP2633-456911.20240506
Accepted：

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XIANGYU BA. (2024). An improved particle swarm optimization algorithm with enhanced interference. Theory and Practice of Science and Technology, 5(6), 74-78..
DOI：

XIANGYU BA. (2024). An improved particle swarm optimization algorithm with enhanced interference. Theory and Practice of Science and Technology, 5(6), 74-78.. DOI： 10.47297/taposatWSP2633-456911.20240506.

摘要

Abstract

Particle swarm optimization (PSO) algorithm is favored by scholars because of its simple operation and fast speed

and many improved PSO are proposed on this basis. Although these improved PSO algorithms have made some progress in accuracy

they increase the operation cost and lose the advantages of fast convergence speed and easy operation. To solve these problems

this paper proposes an improved PSO

which is called EIPSO. In comparison to the conventional particle swarm optimization algorithm

the EIPSO (Enhanced Interference Algorithm with Particle Swarm Optimization) eliminates the acceleration coefficient and substitutes the learning factor to diminish the algorithm's reliance on its parameters. It incorporates noise-based perturbations to facilitate the escape from local optima. Subsequently

a multitude of benchmark functions were employed to assess the performance of EIPSO

with experimental outcomes indicating that it achieves greater precision and a quicker convergence rate.

关键词

Keywords

Particle swarm optimizationgroup-based learningnoise-based disturbance

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