Adaptively learning memory incorporating PSO
*Dmytro ShchyrbaCorresponding author276186@student.pwr.edu.plFaculty of Information and Communication TechnologyWroclaw University of Science and TechnologyWroclaw, 51-627, PolandView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 06 Dec 2023
- Published Online:
- 23 May 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1787
- Pages:
- 989–1010
Abstract
Keywords
Subject Classifications
References
[1] R. Abdulkadirov, P. Lyakhov, and N. Nagornov, “Survey of optimization algorithms in modern neural networks,” Mathematics, vol. 11, no. 11, pp. 2466 (2023).
[2] M. R. Ghasemi Atieh Khajeh and H. Ghohani Arab, “Modified particle swarm optimization with novel population initialization,” Journal of Information and Optimization Sciences, vol. 40, no. 6, pp. 1167–1179 (2019).
[3] Y. del Valle, G. K. Venayagamoorthy, S. Mohagheghi, J.-C. Hernandez, and R. G. Harley, “Particle swarm optimization: Basic concepts, variants and applications in power systems,” IEEE Transactions on Evolutionary Computation, vol. 12, no. 2, pp. 171–195 (2008).
[4] J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of ICNN’95-International Conference on Neural Networks, vol. 4, pp. 1942–1948, IEEE (1995).
[5] A. Lin, S. Li, and R. Liu, “Mutual learning differential particle swarm optimization,” Egyptian Informatics Journal, vol. 23, no. 3, pp. 469–481 (2022).
[6] M. Nutakki and S. Mandava, “Review on optimization techniques and role of artificial intelligence in home energy management systems,” Engineering Applications of Artificial Intelligence, vol. 119, p. 105721 (2023).
[7] K. E. Parsopoulos and M. N. Vrahatis, “UPSO: A unified particle swarm optimization scheme,” in International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2004), pp. 868–873, CRC Press (2019).
[8] T. Peram, K. Veeramachaneni, and C. K. Mohan, “Fitness-distance-ratio based particle swarm optimization,” in Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS’03 (Cat. No. 03EX706), pp. 174–181 (2003).
[9] S. P. S. Rajput and S. Datta, “A review on optimization techniques used in civil engineering material and structure design,” Materials Today: Proceedings, vol. 26, pp. 1482–1491 (2020).
[10] S. Sengupta, S. Basak, and R. A. Peters, “Particle swarm optimization: A survey of historical and recent developments with hybridization perspectives,” Machine Learning and Knowledge Extraction, vol. 1, no. 1, pp. 157–191 (2019).
[11] G. Xu, Q. Cui, X. Shi, H. Ge, Z.-H. Zhan, H. P. Lee, Y. Liang, R. Tai, and C. Wu, “Particle swarm optimization based on dimensional learning strategy,” Swarm and Evolutionary Computation, vol. 45, pp. 33–51 (2019).
[12] Y. Zhou, W. Xia, and J. Dai, “The application of nature-inspired optimization algorithms on the modern management: A systematic literature review and bibliometric analysis,” Journal of Management & Organization, vol. 29, no. 4, pp. 655–678 (2023).
