Shubin Tan

Orcid: 0000-0003-0580-1387

Affiliations:
  • Northeastern University, Shenyang, Liaoning, China


According to our database1, Shubin Tan authored at least 28 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
A Fault Detection Method Based on the Dynamic k-Nearest Neighbor Model and Dual Control Chart.
IEEE Trans Autom. Sci. Eng., October, 2024

A dual distance dominance based evolutionary algorithm with selection-replacement operator for many-objective optimization.
Expert Syst. Appl., March, 2024

Evolutionary dynamic grouping based cooperative co-evolution algorithm for large-scale optimization.
Appl. Intell., March, 2024

A cascading elimination-based evolutionary algorithm with variable classification mutation for many-objective optimization.
Inf. Sci., 2024

A many-objective evolutionary algorithm under diversity-first selection based framework.
Expert Syst. Appl., 2024

A two-stage evolutionary algorithm assisted by multi-archives for constrained multi-objective optimization.
Appl. Soft Comput., 2024

A strengthened constrained-dominance based evolutionary algorithm for constrained many-objective optimization.
Appl. Soft Comput., 2024

2023
Event-Triggered Model Predictive Control for Artificial Pancreas Using Prior-Knowledge-Informed Hybrid Model.
IEEE Trans. Control. Syst. Technol., September, 2023

A KLMS Dual Control Chart Based on Dynamic Nearest Neighbor Kernel Space.
IEEE Trans. Ind. Informatics, May, 2023

A decomposition-rotation dominance based evolutionary algorithm with reference point adaption for many-objective optimization.
Expert Syst. Appl., April, 2023

Toward Multimode Process Monitoring: A Scheme Based on Kernel Entropy Component Analysis.
IEEE Trans. Instrum. Meas., 2023

Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization.
Expert Syst. Appl., 2023

2022
A multimode process monitoring strategy via improved variational inference Gaussian mixture model based on locality preserving projections.
Trans. Inst. Meas. Control, 2022

Hybridizing multi-objective, clustering and particle swarm optimization for multimodal optimization.
Neural Comput. Appl., 2022

A bagging-based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization.
Neural Comput. Appl., 2022

Supervised Latent Variable Model with Gaussian Inner Structure for Dynamic PROCESS.
Proceedings of the 7th International Conference on Control, Robotics and Cybernetics, 2022

2021
A partition-based constrained multi-objective evolutionary algorithm.
Swarm Evol. Comput., 2021

A multi-objective differential evolution algorithm based on domination and constraint-handling switching.
Inf. Sci., 2021

A multi-objective evolutionary algorithm for steady-state constrained multi-objective optimization problems.
Appl. Soft Comput., 2021

2020
Pre-processing for single image dehazing.
Signal Process. Image Commun., 2020

A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism.
Appl. Soft Comput., 2020

2019
The radial basis function analysis of fire evacuation model based on RBF neural network.
Clust. Comput., 2019

A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio.
Appl. Soft Comput., 2019

2016
Consensus stabilization in stochastic multi-agent systems with Markovian switching topology, noises and delay.
Neurocomputing, 2016

2015
Consensus stabilization of stochastic multi-agent system with Markovian switching topologies and stochastic communication noise.
J. Frankl. Inst., 2015

Stochastic output-only state space modeling based on stable recursive canonical variate analysis.
Proceedings of the 14th European Control Conference, 2015

R2-M0PS0: A multi-objective particle swarm optimizer based on R2-indicator and decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Robust consensus algorithm for multi-agent systems with exogenous disturbances under convergence conditions.
Int. J. Syst. Sci., 2014


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