… In this article, particle swarm optimization (PSO) was applied to extract the solar cell
parameters from illuminated current-voltage characteristics. The performance of the PSO was …

… an optimisation issue solved by metaheuristic algorithms. Among these algorithms, the particle
swarm optimisation has … , an improved mutated particle swarm optimisation algorithm with …

… , and efficient parameters extraction of photovoltaic models is … mutation based particle
swarm optimization algorithm is … algorithm is evaluated by extracting parameters of five different …

… MESFET small signal model parameter extraction using particle swarm optimization. In:
Proceedings of the 20th IEEE international conference on microelectronics; 2008. p. …

… particle swarm optimization (PSO) is presented in this letter. In the process of parameter
extraction … a problem results from the similar effects of some parameters on I–V characteristics. …

… Extraction of model parameters from experimental data is carried out using the particle swarm
optimisation (PSO) … using experimental data other than that used for parameter extraction. …

… version of particle swarm algorithm to tune the premise parameters and consequent
parameters. The modified version of particle swarm algorithm uses each particle's best current …

… Order Particle Swarm Optimization (FO-PSO), a meta-heuristic method for parameters … ,
transcendental, multi-modal and implicit optimization problem. The uses single diode model (…

… that have certain limitations in optimising complex manufacturing processes. Considering …
analysis of the particle swarm optimisation (PSO) implementation in designing parameters of …

… and the Particle Swarm Optimization (PSO) to determine the optimum parameters required
to … Based on the experimental data set of the lipid extraction process, an accurate Fuzzy logic …