Optimal power flow using particle swarm optimization

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Optimization of Governor Parameters to Prevent Frequency Oscillations in Power Systems (2018, methodology): “The particle swarm optimization (PSO) algorithm is used to solve the above optimization problem [16], [17].”
A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation (2005, background): “Unfortunately, recent research has identified some deficiencies in GA performance [8].”
Optimal power flow using differential evolution algorithm (2009, methodology): “In this case, the cost curves of the generators at buses 1 and 2 are represented by piecewise quadratic cost functions [23].”
A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem (2008, methodology): “Recently, PSO algorithms were successfully applied to a wide range of applications such as power and voltage control by Abido [20], a mass-spring system by Brandstatter and Baumgartner [21], a task assignment problem by Salman et al.”
Particle Swarm Optimization in Structural Design (2007, methodology): “Recently, the PSO has been proven useful on diverse engineering design applications such as logic circuit design (e.g. Coello & Luna, 2003), control design (e.g. Zheng et al., 2003) and power systems design (e.g. Abido, 2002) among others.”