Ladjouzi, SamirGrouni, Said2024-05-262024-05-2620240970-3950https://link.springer.com/article/10.1007/s12647-024-00749-yhttps://doi.org/10.1007/s12647-024-00749-yhttps://dspace.univ-boumerdes.dz/handle/123456789/13981In this paper, a new technique to determine the best values of a PID controller is presented. The proposed scheme is based on using a single-neuron controller which its weights represent the PID parameters. Weight’s adjustment is accomplished with a recent meta-heuristic algorithm called the DragonFly Algorithm. To show the effectiveness of our method, we have applied it to control a Continuous Stirred Tank Reactor. The obtained results are compared with several algorithms: the Ziegler–Nichols, Genetic Algorithm, and Particle Swarm Optimization.enContinuous stirred tank reactorDragonFly algorithmGenetic algorithm and particle swarm optimizationPID controllerSingle-neuron controllerZiegler–NicholsArticle