particle swarm optimizationquantum-behaved particle swarm optimizationAlthough the particle swarm optimisation (PSO) algorithm requires relatively few parameters and is computationally simple and easy to implement, it is not a globally convergent algorithm. In Particle Swarm Optimisation: Classical and Quantum...
Among heuristic intelligence optimization, Particle Swarm Optimization (PSO) is one of the most widely used; it is a simple, easy to implement, effective but can get stuck on local minimum and is unsatisfactory in solving multi-objective optimization problems [74]. Although several novel ...
Fielding B, Zhang L (2018) Evolving image classification architectures with enhanced particle swarm optimisation. IEEE Access 6:68560–68575. https://doi.org/10.1109/ACCESS.2018.2880416 Article Google Scholar Zhang L, Liu X, Guan H (2022) Automtl: a programming framework for automating efficient...
(2007). A fuzzy adaptive turbulent particle swarm optimisation. International Journal of Innovative Computing and Applications, 1(1), 39–47. Article Google Scholar Lovbjerg, M., & Krink, T. (2002). Extending particle swarms with self-organized criticality. Proceedings of the IEEE Congress on...
Standard particle swarm optimisation 2011 at cec-2013: A baseline for future pso improvements. In: 2013 IEEE Congress on Evolutionary Computation 2013 Jun 20 (pp. 2337-2344). IEEE 32. Pontes MR, Neto FB, Bastos-Filho CJ. Adaptive clan particle swarm optimization. In: 2011 IEEE Symposium on...
Few applications of particle swarm optimisation are finding maximum efficiency of solar collectors, management of ground water resources, vehicle routing etc. View article Smart design and control of thermal energy storage in low-temperature heating and high-temperature cooling systems: A comprehensive ...
Particle Swarm Optimization is a computational algorithm inspired by the collective behavior of organisms like fish schooling or bird flocking, where decentralized agents interact locally to find an optimal solution for complex problems with discontinuous and non-linear parameters. ...
Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of ... A novel fuzzy proportional-integral derivative (PID) controller is proposed in this study for automatic generation control (AGC) of interconnected power...
Okwu, M.O., Tartibu, L.K. (2021). Particle Swarm Optimisation. In: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications. Studies in Computational Intelligence, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-61111-8_2 ...
Wang H, Yang S, Ip WH, Wang D (2012) A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems. Int J Syst Sci 43(7):1268–1283 Wang Z, Sun X, Zhang D (2006) Classification rule mining based on particle swarm optimization. In: Wang GY, Peters JF,...