In this paper a hybrid ensemble particle swarm optimization (HEPSO) algorithm is presented. It combines ensemble learning, subpopulation, part dimensions ...
Abstract—In this paper a hybrid ensemble particle swarm optimization (HEPSO) algorithm is presented. It combines ensemble learning, subpopulation ...
In this paper, we discuss our proposed FS method called the “hybrid distributed feature selection using particle swarm optimization-mutual information (PSO-MI)” ...
Hybrid Ensemble Particle Swarm Optimization - ResearchGate
www.researchgate.net › publication › 22...
In this paper a hybrid ensemble particle swarm optimization (HEPSO) algorithm is presented. It combines ensemble learning, subpopulation, part dimensions ...
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Mar 19, 2023 · Khafaga et al. proposed the Binary Dipper Throated Optimization (bDTO) method to optimize the weighted ensemble model by the DTO algorithm. Once ...
A hybrid ensemble particle swarm optimization (HEPSO) algorithm is presented that combines ensemble learning, subpopulation, part dimensions and random ...
An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase. 2023, Swarm and Evolutionary Computation.
Hybrid Ensemble Particle Swarm Optimization | Proceedings of the ...
dl.acm.org › doi › ICNC.2009.565
In this paper a hybrid ensemble particle swarm optimization (HEPSO) algorithm is presented. It combines ensemble learning, subpopulation, part dimensions ...
This article focuses on evaluating anomaly-based IDS by leveraging the combination of a feature selection technique and hybrid ensemble learning. More precisely ...
[19] proposed a new three-phase hybrid feature selection (FS) algorithm based on correlation-guided clustering and PSO to tackle the “curse of dimensionality” ...