An Improved Particle Swarm Optimization Algorithm Based on S-shaped Activation Function for Fast Convergence
- Authors
- Haris,Muhammad; Dost Muhammad Saqib Bhatti; Nam, Haewoon
- Issue Date
- Oct-2022
- Publisher
- IEEE
- Citation
- 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), pp 239 - 243
- Pages
- 5
- Indexed
- OTHER
- Journal Title
- 2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
- Start Page
- 239
- End Page
- 243
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114496
- DOI
- 10.1109/ICTC55196.2022.9952759
- Abstract
- In this paper an Improve particle swarm optimization algorithm(IPSO) is proposed in which an S-shaped activation function, which is inspired by the neural networks is used to update the acceleration factors, which play a significant role in fast convergence of particles within a given search space. So, in order to keep parity between the exploration and exploitation this S-shaped activation function take into account both the distance of the particle to its Pbest(Personal best position) and from a particle to its Gbest(Global best position), That's how its enhance the convergence rate. The proposed Improved PSO algorithm with S- shaped activation function is tested on some famous complex benchmark functions and its is also compared with some well-known PSO variants.
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Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles
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