Particle swarm optimization performance improvement using deep learning techniques

Author:

Pawan Y.V.R. Naga,Prakash Kolla Bhanu,Chowdhury Subrata,Hu Yu-ChenORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference36 articles.

1. Amidi A, Amidi S. Recurrent Neural Network Cheatsheet/ https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks#architecture, Last Accessed on Apr 07 2021.

2. Bansal JC, Singh PK, Saraswat M, Verma A, Jadon SS, Abraham A (2011) Inertia weight strategies in particle swarm optimization, Third World Congr. on Nature and Biologically Inspired Comput, Salamanca, 633–640

3. Bonyadi MR, Michalewicz Z (2017) Impacts of coefficients on movement patterns in the particle swarm optimization algorithm. IEEE Trans Evol Comput 21(3):378–390

4. Chowdhury, Subrata, G, Ramya, Kolla, Bhanu, Donepudi, Babitha, Ismail, Mohammed, (2020), “Automated road safety surveillance system using hybrid CNN-LSTM approach,” Int J of Adv Trends in Comput Sci and Eng, Vol. 9, pp. 1767–1773.

5. Cui Z, Shi Z (2009) Boid particle swarm optimisation. Int J Innov Comput Appl 2(2):77–85

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