The particle swarm optimization algorithm: convergence analysis and parameter selection
By Ioan Cristian Trelea. Information Processing Letters, 2003
2,719 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/bf868ece196ad98b098878779b574e9b04113785
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In Artificial Intelligence
- Yaochu Jin
- Ran Cheng
- Konstantinos E. Parsopoulos
- Xiaodong Li
- Zhi-hui Zhan
- Jun Zhang
- Ponnuthurai Nagaratnam Suganthan
- Christian Blum
In Numerical Analysis
- Konstantinos E. Parsopoulos
- Xiaodong Li
- Zhi-hui Zhan
- Jun Zhang
- Christian Blum
- A. Chipperfield
- M. E. H. Pedersen
- Ajith Abraham
Citations in the corpus
- Stability analysis of the particle dynamics in particle swarm optimizer (2006, methodology): “The conditions for convergence derived in [22] and [24] in our notation are given by”
- Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection (2012, background): “…a lot of theoretical analyses have been done on the algorithm (Kennedy, 1998; Ozcan and Mohan, 1999; Clerc and Kennedy, 2002; van den Bergh, 2002; Shi and Eberhart, 1998b; Trelea, 2003; Emara and Fattah, 2004; Gavi and Passino, 2003; Kadirkamanathan et al., 2006; Jiang et al., 2007; Poli, 2008).”
- A review of population-based meta-heuristic algorithm (2013, background): “Convergence analysis and stability studies have been reported in [57, 58, 59, 60, 61].”
- Gbest-guided artificial bee colony algorithm for numerical function optimization (2010, background): “While, the exploitation refers to the ability to apply the knowledge of the previous good solutions to find better solutions [22].”
- Calibration of a water and energy balance model: Recursive parameter estimation versus particle swarm optimization (2009, methodology): “Gupta et al. [1999], Houser et al. [2001], and Madsen [2003] then searched for the parameter values that determine the location of the Pareto front.”
- Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems (2006, background): “Trelea [15] also presented some analysis of convergence for a one-dimensional particle.”
- Swarm Intelligence in Optimization (2008, background): “Since PSO was first introduced by Kennedy and Eberhart in 1995 [91], several studies have been carried out on understanding the convergence properties of PSO [33, 132, 170, 168].”
- Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions (2019, methodology): “linear convergence rate, which agrees with analysis results of other PSO algorithms [39].”