About this document

Hybrid PSO with Fine Tuning Operators by Ramana Murthy is a document available to read on EtoBox.

This paper presents a hybrid particle swarm optimization (PSO) algorithm that integrates fine tuning operators to enhance optimization problem-solving. The proposed method combines parameter-free PSO and extrapolated PSO, incorporating mutation, cross-over, and root mean square variants to improve performance. Comparative analyses demonstrate that the hybrid PSO, along with fine tuning elements, significantly outperforms traditional PSO algorithms and some state-of-the-art methods.

Author

Ramana Murthy

Language

EN