Paper
6 May 2022 A particle swarm algorithm combined with flower pollination algorithm
Pengfei Zhang, Xin Chen, Min Zhang, Qingchen Jin, Jing Yuan, Shang Li
Author Affiliations +
Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121760D (2022) https://doi.org/10.1117/12.2636381
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China
Abstract
At present, many scholars have conducted extensive research on parameter design in particle swarm optimization algorithms and have achieved many results. The particle swarm algorithm is easy to fall into the local optimum, so the paper modifies the particle swarm parameters to improve the algorithm's performance. To further improve the algorithm, this paper proposes a combination of flower pollination and particle swarm algorithm. The comparison of the optimization accuracy and the convergence speed on the four test functions proves the superiority of the flower pollination and particle swarm algorithm.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pengfei Zhang, Xin Chen, Min Zhang, Qingchen Jin, Jing Yuan, and Shang Li "A particle swarm algorithm combined with flower pollination algorithm", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121760D (6 May 2022); https://doi.org/10.1117/12.2636381
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KEYWORDS
Particle swarm optimization

Particles

Evolutionary algorithms

Optimization (mathematics)

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