Design of Composite Structure Optimization Model Based on Particle Swarm Optimization
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9376-3_41
Reference12 articles.
1. Memon MA, Siddique MD, Mekhilef S, Mubin M (2022) Asynchronous particle swarm optimization-genetic algorithm (APSO-GA) based selective harmonic elimination in a cascaded H-bridge multilevel inverter. IEEE Trans Industr Electron 69(2):1477–1487. https://doi.org/10.1109/TIE.2021.3060645
2. Bento MEC (2022) A hybrid particle swarm optimization algorithm for the wide-area damping control design. IEEE Trans Industr Inf 18(1):592–599. https://doi.org/10.1109/TII.2021.3054846
3. Ellahi M, Abbas G, Satrya GB, Usman MR, Gu J (2021) A modified hybrid particle swarm optimization with bat algorithm parameter inspired acceleration coefficients for solving eco-friendly and economic dispatch problems. IEEE Access 9:82169–82187. https://doi.org/10.1109/ACCESS.2021.3085819
4. Emambocus BAS, Jasser MB, Hamzah M, Mustapha A, Amphawan A (2021) An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP. IEEE Access 9:164820–164836. https://doi.org/10.1109/ACCESS.2021.3133493
5. Jamal R, Men B, Khan NH, Raja MAZ, Muhammad Y (2021) Application of shannon entropy implementation into a novel fractional particle swarm optimization gravitational search algorithm (FPSOGSA) for optimal reactive power dispatch problem. IEEE Access 9:2715–2733. https://doi.org/10.1109/ACCESS.2020.3046317
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