As seen in Equations (3)–(5), the dimension of the spatial solution is d, and the current number of the iteration is k.c 1, c 2, and c 3 represent the learning factors, rand() is a random number ...

In the complex indoor environment, geomagnetic matching is an effective way to realize indoor positioning of mobile robots. Aiming at the problem that the application of Particle Swarm Optimization ...

This repository contains a simple Python implementation of the Particle Swarm Optimization (PSO) algorithm. The provided code initializes a swarm of particles, updates their velocities and positions ...

This repository contains the implementation and evaluation of Hybrid RSA-PSO, a novel metaheuristic algorithm that combines the exploratory power of the Reptile Search Algorithm (RSA) with the ...

In order to solve the problem of trajectory shift, a PSO-DRBFNNILC strategy is designed. The first RBFNN is introduced to estimate the output of the ILC system; second RBFNN is built to adaptively ...

A new publication from Opto-Electronic Sciences; DOI 10.29026/oes.2024.240014 , discusses how AI and physics unite for meta-antennas design.

Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more ...