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• W2894825487 abstract "This paper examines the position update equation of the particle swarm optimization (PSO) algorithm, leading to the proposal of a simplified position update based upon a Gaussian distribution. The proposed algorithm, Gaussian-valued particle swarm optimization (GVPSO), generates probabilistic positions by retaining key elements of the canonical update procedure while also removing the need to specify values for the traditional PSO control parameters. Experimental results across a set of 60 benchmark problems indicate that GVPSO outperforms both the standard PSO and the bare bones particle swarm optimization (BBPSO) algorithm, which also employs a Gaussian distribution to generate particle positions." @default.
• W2894825487 created "2018-10-12" @default.
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• W2894825487 date "2018-01-01" @default.
• W2894825487 modified "2023-09-27" @default.
• W2894825487 title "Gaussian-Valued Particle Swarm Optimization" @default.
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• W2894825487 doi "https://doi.org/10.1007/978-3-030-00533-7_31" @default.
• W2894825487 hasPublicationYear "2018" @default.
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