A Survey of Particle Swarm Optimization Applications in Electric Power Systems

By Mohammed R. AlRashidi, M. E. El-Hawary. IEEE Transactions on Evolutionary Computation, 2009

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Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch (2008, background): “A detailed review of the state-of-the-art multiobjective particle swarm approaches is provided in [35], while comprehensive coverages of different PSO applications for solving the electric power system related optimization problems are given in [36] and [37].”
Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects (2008, methodology): “Optimization techniques, such as PSO, are fast growing tools that can overcome most of the limitations found in derivative-based techniques [40].”
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems (2015, background): “Since the proposal of these algorithms, a signiﬁcant number of researchers attempted to improve or apply them in to different problems in diverse ﬁelds [15–20].”
Genetic Learning Particle Swarm Optimization (2016, background): “In the next generation, suppose that pbest and gbest are updated to Pi = [5, 4] and G = [2, 1], respectively, and the newly calculated exemplar is Ei = [4, 3].”
Multi-agent control system with information fusion based comfort model for smart buildings (2012, background): “global position; k is the iteration index, kn is the current iteration number, and kmax is the maximum number of iterations [24–27].”