Particle swarm optimisation: a historical review up to the current developments
The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …
behaviour of bird flocks searching for food sources. In this nature-based algorithm …
Chemometric methods in data processing of mass spectrometry-based metabolomics: A review
L Yi, N Dong, Y Yun, B Deng, D Ren, S Liu… - Analytica chimica acta, 2016 - Elsevier
This review focuses on recent and potential advances in chemometric methods in relation to
data processing in metabolomics, especially for data generated from mass spectrometric …
data processing in metabolomics, especially for data generated from mass spectrometric …
A survey on swarm intelligence approaches to feature selection in data mining
One of the major problems in Big Data is a large number of features or dimensions, which
causes the issue of “the curse of dimensionality” when applying machine learning …
causes the issue of “the curse of dimensionality” when applying machine learning …
A survey on evolutionary computation approaches to feature selection
Feature selection is an important task in data mining and machine learning to reduce the
dimensionality of the data and increase the performance of an algorithm, such as a …
dimensionality of the data and increase the performance of an algorithm, such as a …
A survey on feature selection methods
G Chandrashekar, F Sahin - Computers & electrical engineering, 2014 - Elsevier
Plenty of feature selection methods are available in literature due to the availability of data
with hundreds of variables leading to data with very high dimension. Feature selection …
with hundreds of variables leading to data with very high dimension. Feature selection …
A GA-LR wrapper approach for feature selection in network intrusion detection
Intrusions constitute one of the main issues in computer network security. Through malicious
actions, hackers can have unauthorised access that compromises the integrity, the …
actions, hackers can have unauthorised access that compromises the integrity, the …
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
In classification, feature selection is an important data pre-processing technique, but it is a
difficult problem due mainly to the large search space. Particle swarm optimisation (PSO) is …
difficult problem due mainly to the large search space. Particle swarm optimisation (PSO) is …
A novel hybrid genetic algorithm with granular information for feature selection and optimization
H Dong, T Li, R Ding, J Sun - Applied Soft Computing, 2018 - Elsevier
Feature selection has been a significant task for data mining and pattern recognition. It aims
to choose the optimal feature subset with the minimum redundancy and the maximum …
to choose the optimal feature subset with the minimum redundancy and the maximum …
A hybrid barnacles mating optimizer algorithm with support vector machines for gene selection of microarray cancer classification
These days, the classification between normal and cancerous tissues and between different
types of cancers represents a very important issue. Selecting the little informative number of …
types of cancers represents a very important issue. Selecting the little informative number of …
Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
SM Vieira, LF Mendonça, GJ Farinha… - Applied Soft Computing, 2013 - Elsevier
This paper proposes a modified binary particle swarm optimization (MBPSO) method for
feature selection with the simultaneous optimization of SVM kernel parameter setting …
feature selection with the simultaneous optimization of SVM kernel parameter setting …