Chaos embedded particle swarm optimization algorithms

By Bilal Alatas, E. Akın, A. B. Ozer. 2009

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Rational approximation for fractional-order system by particle swarm optimization (2012, methodology): “In [24, 25], the chaotic optimization was applied in PSO to avoid the prema-”
Self regulating particle swarm optimization algorithm (2015, background): “Recently, an adaptive parameter selection scheme for both the inertia weight and acceleration coefficients have been proposed in [79, 2].”
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review (2017, methodology): “Many combinations are possible, for instance using one method to adjust parameters of the other (see Parsopoulos and Vrahatis, 2002b and Alatas et al., 2009 where DE and a chaotic map were used to set the coefficients of SPSO during the run, respectively), or running different methods iteratively to”
Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021, background): “Alatas et al. [31] proposed a chaos embedded PSO to ensure the search ergodicity for exploring an entire search space by using chaotic sequences.”