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Pseudo gradient-adjusted particle swarm optimization for accurate adaptive latent factor analysis
A latent factor analysis (LFA) model can be efficiently built via the stochastic gradient
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …
descent (SGD) algorithm to address high-dimensional and incomplete (HDI) data generated …
Competition-driven multimodal multiobjective optimization and its application to feature selection for credit card fraud detection
Feature selection has been considered as an effective method to solve imbalanced
classification problems. It can be formulated as a multiobjective optimization problem (MOP) …
classification problems. It can be formulated as a multiobjective optimization problem (MOP) …
A distributed framework for large-scale protein-protein interaction data analysis and prediction using mapreduce
Protein-protein interactions are of great significance for human to understand the functional
mechanisms of proteins. With the rapid development of high-throughput genomic …
mechanisms of proteins. With the rapid development of high-throughput genomic …
A new particle swarm optimization algorithm for outlier detection: Industrial data clustering in wire arc additive manufacturing
In this paper, a novel outlier detection method is proposed for industrial data analysis based
on the fuzzy C-means (FCM) algorithm. An adaptive switching randomly perturbed particle …
on the fuzzy C-means (FCM) algorithm. An adaptive switching randomly perturbed particle …
NUS: Noisy-sample-removed undersampling scheme for imbalanced classification and application to credit card fraud detection
H Zhu, MC Zhou, G Liu, Y **-assisted evolutionary swarm intelligence for industrial IoT task scheduling in cloud computing
Advancements in the Industrial Internet of Things (IIoT) have yielded massive volumes of
data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing …
data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing …
[HTML][HTML] Consensus graph and spectral representation for one-step multi-view kernel based clustering
Recently, multi-view clustering has received much attention in the fields of machine learning
and pattern recognition. Spectral clustering for single and multiple views has been the …
and pattern recognition. Spectral clustering for single and multiple views has been the …
Adaptive multiple selection strategy for multi-objective particle swarm optimization
H Han, L Zhang, A Yinga, J Qiao - Information Sciences, 2023 - Elsevier
Multiple-swarm approach is a quite successful evolutionary computation framework for multi-
objective particle swarm optimization algorithm (MOPSO) to solve multi-objective …
objective particle swarm optimization algorithm (MOPSO) to solve multi-objective …
Particle swarm optimization with probability sequence for global optimization
Particle Swarm Optimization (PSO) has been frequently employed to solve diversified
optimization problems. Choosing initial placement for population plays an important role in …
optimization problems. Choosing initial placement for population plays an important role in …
Convergence analysis of beetle antennae search algorithm and its applications
In this paper, we focuses on the theoretical analysis on the convergence of the beetle
antennae search (BAS) algorithm. For the first time, we prove that the BAS algorithm is …
antennae search (BAS) algorithm. For the first time, we prove that the BAS algorithm is …