Borowska, Bożena2023-09-252023-09-252023Borowska B., A Novel Learning Multi-Swarm Particle Swarm Optimization. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 337-341, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.53.978-83-66741-92-8http://hdl.handle.net/11652/4829https://doi.org/10.34658/9788366741928.53Particle swarm optimization (PSO) is one of the metaheuristic optimization methods. Because of its many advantages, it is often used to solve real-world engineering problems. However, in case of complex, multidimensional tasks, PSO faces some problems related to premature convergence and stagnation in local optima. To eliminate this inconveniences, in this paper, a new learning multi-swarm particle swarm optimization method (LMPSO) with local search operator has been proposed. The presented approach was tested on a set of nonlinear functions and a CEC2015 test suite. The obtained results were compared with other optimization methods.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionlearning particle swarm optimizationlearning strategymultiswarmparticle swarm optimizationpsooptimizationswarm intelligencenauka optymalizacji roju cząstekstrategia uczenia sięoptymalizacja roju cząstekpsooptymalizacjainteligencja rojuRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.53