An international research team has developed a particle swarm optimization (PSO) algorithm based on quantum computing for real-time maximum power point tracking (MPPT) implementation in PV systems.

PSO-Merging is an innovative deep model fusion method that uses particle swarm optimization algorithm to automatically find optimal model fusion weights. This project is built on the FusionBench ...

Abstract: This research focuses on the depth control challenge of autonomous underwater vehicles (AUVs). A comprehensive dynamic model was developed utilizing MATLAB's computational capabilities. The ...

Energy Exploration & Exploitation, Vol. 37, No. 1 (January 2019), pp. 558-578 (21 pages) This paper proposes a frequency-based method for sizing the hybrid energy storage system in order to smoothen ...

The primary objective of this project is to develop a robust path planning solution for transport UAVs operating in low-altitude environments with complex terrain and obstacles. The algorithm is ...

In this paper, a rectangular layer-packing algorithm (RLPA) combined with modified genetic algorithm (GA) or particle swarm optimization (PSO) algorithm is developed to solve the problem with emerging ...