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 ...

In response to these problems, researchers have extensively studied PSO improvement in recent years. Das and Jena (2020) used a genetic algorithm that inherits multiple crossover operators and bee ...

Premature convergence is a thorny problem for particle swarm optimization (PSO) algorithms, especially on multimodal problems, where maintaining swarm diversity is crucial. However, most enhancement ...

Study: An improved particle swarm optimization for wind resistance performance design of high-rise buildings. Image Credit: Ken Felepchuk/Shutterstock.com Published in Advances in Wind Engineering, ...

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 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 ...

Niching is an important technique for multimodal optimization in Evolutionary Computation. Most existing niching algorithms are evaluated using only 1 or 2 dimensional multimodal functions. However, ...