Książki, monografie, podręczniki, rozdziały (WFTIiMS)
Stały URI dla kolekcjihttp://hdl.handle.net/11652/173
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Pozycja A Novel Learning Multi-Swarm Particle Swarm Optimization(Wydawnictwo Politechniki Łódzkiej, 2023) Borowska, BożenaParticle 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.