Xiang Yu

Orcid: 0000-0001-5591-3526

Affiliations:
  • Nanchang Institute of Technology, Provincial Key Laboratory for Water Information Cooperative Sensing and Intelligent Processing, China
  • Hong Kong University of Science and Technology, Department of Civil Engineering, Hong Kong (PhD 2015)


According to our database1, Xiang Yu authored at least 14 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Improved swarm-optimization-based filter-wrapper gene selection from microarray data for gene expression tumor classification.
Pattern Anal. Appl., May, 2023

2021
Enhanced Comprehensive Learning Particle Swarm Optimization with Dimensional Independent and Adaptive Parameters.
Comput. Intell. Neurosci., 2021

2020
On convergence analysis of multi-objective particle swarm optimization algorithm.
Eur. J. Oper. Res., 2020

Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit.
Complex., 2020

2019
Decomposition-based multi-objective comprehensive learning particle swarm optimisation.
Int. J. Comput. Sci. Eng., 2019

Dynamic Knowledge Update Using Three-Way Decisions in Dominance-Based Rough Sets Approach While the Object Set Varies.
Int. J. Comput. Intell. Syst., 2019

2018
Adaptive Multiswarm Comprehensive Learning Particle Swarm Optimization.
Inf., 2018

2017
Firefly algorithm with adaptive control parameters.
Soft Comput., 2017

Firefly algorithm with neighborhood attraction.
Inf. Sci., 2017

2016
Opposition-Based Artificial Bee Colony Using Different Learning Models.
J. Inf. Hiding Multim. Signal Process., 2016

Artificial bee colony algorithm with improved special centre.
Int. J. Comput. Sci. Math., 2016

A Hybrid Firefly Algorithm for Continuous Optimization Problems.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016

Adaptive firefly algorithm with alternative search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014
Enhanced comprehensive learning particle swarm optimization.
Appl. Math. Comput., 2014


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