Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review

@article{Bonyadi2017ParticleSO,
  title={Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review},
  author={Mohammad Reza Bonyadi and Zbigniew Michalewicz},
  journal={Evolutionary Computation},
  year={2017},
  volume={25},
  pages={1-54}
}
This paper reviews recent studies on the Particle Swarm Optimization (PSO) algorithm. The review has been focused on high impact recent articles that have analyzed and/or modified PSO algorithms. This paper also presents some potential areas for future study. 
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On the Particle Swarm Optimization Control Using Analytic Programming and Self Organizing Migrating Algorithm
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Hybrid PSO Algorithm with Iterated Local Search Operator for Equality Constraints Problems
TLDR
A hybrid PSO algorithm with an ILS (Iterated Local Search) operator for handling equality constraints problems in mono-objective optimization problems and shows improvement in accuracy, reducing the gap for the tested problems.
Convergence analysis of particle swarm optimization using stochastic Lyapunov functions and quantifier elimination
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