Nov 10, 2018 · This method extends the idea of the traditional PSO to feature selection problems with a new adaptive mechanism and new updating strategy. By ...
Mar 25, 2021 · PDF | On Jan 1, 2018, Ke Chen and others published Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New ...
Feature selection is widely used to reduce dimension and remove irrelevant features. In this paper, particle swarm optimization is employed to select ...
This paper proposes a new update rule for Particle Swarm Optimization. Newly proposed update rule is based on normal distribution.
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Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy. https://doi.org/10.1007/978-3-030-03991-2_39 ·.
Particle swarm optimization (PSO) has been invented by inspiring social behaviors of fish or birds to solve nonlinear global optimization problems.
Aug 1, 2024 · This paper presents an enhanced particle swarm optimization employed for feature selection to tackle the limitations of the current version of binary BPSO.
In this research, we propose two Particle Swarm Optimisation (PSO) variants to undertake feature selection tasks.
This article proposes a novel PSO-based feature selection approach, which can continuously improve the quality of the population at each iteration.
Oct 22, 2024 · This paper introduces a novel Hybrid Strategy Particle Swarm Optimization (HSPSO) algorithm, which integrates adaptive weight adjustment, reverse learning, ...