A New Particle Swarm Algorithm and Its Globally Convergent Modifications

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Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach (2015, methodology): “HMRPSO is a new PSO technique using the moderate random search strategy to enhance the ability of particles to explore the solu-tion spaces more effectively and a new mutation strategy to ﬁnd the global optimum (Gao and Xu, 2011).”
A Competitive Swarm Optimizer for Large Scale Optimization (2015, background): “Other hybrid PSO variants include PSO with Gaussian mutation [34], PSO with chaos [35], orthogonal learning PSO (OLPSO) [36], PSO with a moderate-random-search strategy [37], and a very recently proposed PSO with a periodic mutation strategy and neural networks [38].”
Genetic Learning Particle Swarm Optimization (2016, methodology): “[44] and has been widely used in [46]–[48].”
An Improved PSO Algorithm and Its Application to UWB Antenna Design (2013, background): “Recently, many researchers attempt to obtain improved PSO algorithms with high capacity [4]–[7].”