Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm

By Marco Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo. IEEE Transactions on Evolutionary Computation, 2009

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A Competitive Swarm Optimizer for Large Scale Optimization (2015, methodology): “For simplicity, the commonly used ring topology[22], [23], [59], which has been shown to be an effective neighborhood structure [60] is adopted here.”
Automatically improving the anytime behaviour of optimisation algorithms (2014, methodology): “The process of designing complex algorithms from a framework of algorithm components can be seen as an algorithm configuration problem [34, 41, 48].”
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review (2017, methodology): “de Oca et al. (2011) to determine exploration/exploitation tendency of the swarm.”