A Study of Global Optimization Using Particle Swarms

By Jaco F. Schutte, Albert A. Groenwold. Journal of Global Optimization, 2005

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Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey (2008, methodology): “[138] propose to automatically tune α and T using Particle Swarm Optimization [134] and results show that this method reduces the total pixel error of the MOG significantly.”
A particle swarm pattern search method for bound constrained global optimization (2007, background): “[12,24] and has received some recent attention in the global optimization community [7,35].”
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems (2017, background): “Over the past decades, numerous PSO variants have been proposed in order to enhance the performance of the canonical PSO on both exploratory and exploitative search [55], [56].”
Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm (2013, background): “3 for cognitive and social acceleration coefficients, respectively (Clerc and Kennedy 2002; Schutte and Groenwold 2005).”
Firefly Algorithm for Continuous Constrained Optimization Tasks (2009, methodology): “Experiments reported here involved a performance comparison of Firefly Algorithm with such advanced PSO algorithm defined with constriction factor and the best parameters set suggested in conclusion of [12].”