Particle swarm optimization performance improvement using deep learning techniques

• Published in: Multimedia tools and applications Vol. 81; no. 19; pp. 27949 - 27968
• Main Authors: Pawan, Y.V.R. Naga, Prakash, Kolla Bhanu, Chowdhury, Subrata, Hu, Yu-Chen
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2022; Springer Nature B.V
• Subjects: Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Inertia; Multimedia Information Systems; Optimization; Optimization models; Particle swarm optimization; Performance enhancement; Special Purpose and Application-Based Systems; Long short-term memory; Inertia weight; Particle swarm optimization; Convolutional neural network

Deep learning is widely used to automate processes, improve performance, detect patterns, and solve problems. Thus, applications of deep learning are limitless. Particle swarm optimization is a computational method that optimizes a problem by trying to improve a candidate solution. Although many res...