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An efficient gene selection method for microarray data based on LASSO and BPSO

BMC bioinformatics, 2019-12, Vol.20 (Suppl 22), p.715-715, Article 715

2019

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An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization

IEEE access, 2019, Vol.7, p.50388-50399

2019

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Assessment of ovarian cancer conditions from exhaled breath

International journal of cancer, 2015-03, Vol.136 (6), p.E614-E622

2015

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Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules

ACS nano, 2017-01, Vol.11 (1), p.112-125

2017

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A novel strategy for gene selection of microarray data based on gene-to-class sensitivity information

PloS one, 2014-05, Vol.9 (5), p.e97530-e97530

2014

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A novel particle swarm optimisation with mutation breeding

Connection science, 2020-10, Vol.32 (4), p.333-361

2020

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A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization

Intelligent data analysis, 2023-11, Vol.27 (6), p.1681-1698

2023

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An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm

Connection science, 2021-10, Vol.33 (4), p.803-834

2021

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An enhanced class topper algorithm based on particle swarm optimizer for global optimization

Applied intelligence (Dordrecht, Netherlands), 2021-02, Vol.51 (2), p.1022-1040

2021

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A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information

IEEE/ACM transactions on computational biology and bioinformatics, 2017-01, Vol.14 (1), p.85-96

2017

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An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy

PloS one, 2016-11, Vol.11 (11), p.e0165803-e0165803

2016

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Differentiation between genetic mutations of breast cancer by breath volatolomics

Oncotarget, 2015-12, Vol.6 (42), p.44864-44876

2015

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An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism

Complexity (New York, N.Y.), 2018-01, Vol.2018 (1)

2018

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An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference

Symmetry (Basel), 2022-12, Vol.14 (12), p.2619

2022

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An improved evolutionary extreme learning machine based on particle swarm optimization

Neurocomputing (Amsterdam), 2013-09, Vol.116, p.87-93

2013

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A survey on metaheuristic optimization for random single-hidden layer feedforward neural network

Neurocomputing (Amsterdam), 2019-03, Vol.335, p.261-273

2019

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A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection

Applied intelligence (Dordrecht, Netherlands), 2023-09, Vol.53 (17), p.20535-20560

2023

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An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization

Neurocomputing (Amsterdam), 2017-03, Vol.228, p.133-142

2017

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Multi-objective particle swarm optimization with adaptive strategies for feature selection

Swarm and evolutionary computation, 2021-04, Vol.62, p.100847, Article 100847

2021

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An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity

Cognitive systems research, 2019-01, Vol.53, p.51-60

2019

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Modified constrained learning algorithms incorporating additional functional constraints into neural networks

Information sciences, 2008-02, Vol.178 (3), p.907-919

2008

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An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks

Neural computing & applications, 2010-03, Vol.19 (2), p.255-261

2010

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A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information

Applied mathematics and computation, 2008-11, Vol.205 (2), p.792-798

2008

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An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection

Advances in Swarm Intelligence, p.89-96

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An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity

Intelligent Computing Theories and Application, p.121-127

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An efficient gene selection method for microarray data based on LASSO and BPSO

An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization

Assessment of ovarian cancer conditions from exhaled breath

Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules

A novel strategy for gene selection of microarray data based on gene-to-class sensitivity information

A novel particle swarm optimisation with mutation breeding

A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization

An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm

An enhanced class topper algorithm based on particle swarm optimizer for global optimization

A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information

An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy

Differentiation between genetic mutations of breast cancer by breath volatolomics

An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism

An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference

An improved evolutionary extreme learning machine based on particle swarm optimization

A survey on metaheuristic optimization for random single-hidden layer feedforward neural network

A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection

An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization

Multi-objective particle swarm optimization with adaptive strategies for feature selection

An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity

Modified constrained learning algorithms incorporating additional functional constraints into neural networks

An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks

A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information

An Improved Ensemble Extreme Learning Machine Based on ARPSO and Tournament-Selection

An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity

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