An improved PSO algorithm based on stream computing and multi-swarm

Likun Dai; Jin Wang; Peiyi Tang; Taizhi Lv

doi:10.1117/12.3004262

11 October 2023 An improved PSO algorithm based on stream computing and multi-swarm

Likun Dai, Jin Wang, Peiyi Tang, Taizhi Lv

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128000F (2023) https://doi.org/10.1117/12.3004262
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

Due to its simplicity and fast convergence speed, the particle swarm optimization (PSO) algorithm has been applied in many fields to solve various optimization problems. An improved PSO algorithm based on stream computing and multiswarm is proposed to solve the problem of low efficiency and easy to fall into local optimal solution for the traditional PSO algorithm, and it is abbreviated as SCMS PSO. In order to solve the problem of premature convergence caused by multimodal functions, this algorithm adopts multi-swarm. In the initial stage, the swarm is divided into several swarms based on the particle characteristics, and each swarm evolves separately, improving the global search ability of particles. Based on stream computing technology, this algorithm executes particle swarm evolving in distributed parallel. The experimental results show that the proposed algorithm not only has a faster convergence rate and more effective global search capability under the unimodal function, but also achieves better experimental results under the complex and deceptive multimodal function, which confirms that stream computing and multi- swarm can effectively improve the performance of the PSO algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Likun Dai, Jin Wang, Peiyi Tang, and Taizhi Lv "An improved PSO algorithm based on stream computing and multi-swarm", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128000F (11 October 2023); https://doi.org/10.1117/12.3004262

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KEYWORDS

Particles

Particle swarm optimization

Parallel computing

Algorithm testing

Calculus

Computer architecture

Engineering

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