Introduction
The historical development
Original particle swarm optimization
Canonical particle swarm optimization
Fully informed particle swarm optimization
The state-of-the-art
Algorithms
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Multiple strategies-based orthogonal design particle swarm optimizer (MSODPSO) [64],
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Particle swarm optimization algorithm with parasitic behavior (PSOPB) [62],
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Particle swarm optimization with dynamical exploitation space reduction strategy (DESP-PSO) [21],
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Particle swarm optimization with an aging leader and challengers (ALC-PSO) [13],
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Adaptive particle swarm optimization with heterogeneous multicore parallelism and GPU acceleration [85].