Guolin Yu
Orcid: 0000-0003-4729-7748
According to our database1,
Guolin Yu authored at least 53 papers
between 2007 and 2026.
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Bibliography
2026
Conjugate duality in set optimization via subdifferential respect to set-order relations.
J. Optim. Theory Appl., June, 2026
Convergence theorems of hybrid projection algorithms with two inertial terms for solving fixed point problem.
Optim. Lett., May, 2026
Neural Networks, 2026
A robust sparse twin SVM with ϵ -zone insensitive two-parameter pinball loss for large-scale binary classification.
Appl. Soft Comput., 2026
2025
Generalized Adaptive Huber Loss Driven Robust Twin Support Vector Machine Learning Framework for Pattern Classification.
Neural Process. Lett., August, 2025
Convergence Rate of A Unified Prediction-Correction Algorithm for Linearly Constrained Equilibrium Problems.
J. Optim. Theory Appl., August, 2025
A PRP Type Conjugate Gradient Method Without Truncation for Nonconvex Vector Optimization.
J. Optim. Theory Appl., January, 2025
Optimal conditions in uncertain set-valued optimization problems via second-order subdifferential involving Minkowski difference with application to zero-sum matrix games.
J. Comput. Appl. Math., 2025
Quantile pattern regression using twin extreme learning machines with smooth pinball loss.
Neurocomputing, 2025
Modified Tseng's Extragradient Method for Solving Variational Inequality Problems and Fixed Point Problems with Applications in Optimal Control Problems.
Axioms, 2025
2024
A novel robust generalized eigenvalue proximal support vector machine for pattern classification.
Pattern Anal. Appl., December, 2024
Higher-Order Radial Hadamard Directional Derivatives and Applications to Set-Valued Equilibrium Problems.
Asia Pac. J. Oper. Res., December, 2024
Appl. Intell., October, 2024
Optimality and error bound for set optimization with application to uncertain multi-objective programming.
J. Glob. Optim., April, 2024
Strict Vector Equilibrium Problems of Multi-Product Supply-Demand Networks with Capacity Constraints and Uncertain Demands.
Axioms, April, 2024
Comput. Appl. Math., February, 2024
Signal Process., 2024
Higher-order optimality conditions with separated derivatives and sensitivity analysis for set-valued optimization.
RAIRO Oper. Res., 2024
Distribution-free Bayesian regularized learning framework for semi-supervised learning.
Neural Networks, 2024
Eng. Appl. Artif. Intell., 2024
Eng. Appl. Artif. Intell., 2024
2023
Characterizations of multi-objective robustness solutions defined by Minkowski set difference.
OR Spectr., December, 2023
A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition.
Signal Process., October, 2023
A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification.
Axioms, August, 2023
Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification.
Axioms, August, 2023
Optimality Conditions of the Approximate Efficiency for Nonsmooth Robust Multiobjective Fractional Semi-Infinite Optimization Problems.
Axioms, July, 2023
Eng. Appl. Artif. Intell., May, 2023
Hessian scatter regularized twin support vector machine for semi-supervised classification.
Eng. Appl. Artif. Intell., March, 2023
Capped L2, p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss.
Symmetry, 2023
2022
Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification.
Symmetry, 2022
Sensors, 2022
Regularized twin minimax probability machine for pattern classification and regression.
Eng. Appl. Artif. Intell., 2022
Error Bounds for Inverse Mixed Quasi-Variational Inequality via Generalized Residual Gap Functions.
Asia Pac. J. Oper. Res., 2022
Optimality of Approximate Quasi-Weakly Efficient Solutions for Vector Equilibrium Problems via Convexificators.
Asia Pac. J. Oper. Res., 2022
2021
2020
Optimality Conditions and Scalarization of Approximate Quasi Weak Efficient Solutions for Vector Equilibrium Problem.
Complex., 2020
Complex., 2020
2018
ARAe-SOM+BCO: An enhanced artificial raindrop algorithm using self-organizing map and binomial crossover operator.
Neurocomputing, 2018
2017
Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages.
Knowl. Based Syst., 2017
An efficient multi-objective artificial raindrop algorithm and its application to dynamic optimization problems in chemical processes.
Appl. Soft Comput., 2017
2016
MOEA/D-ARA+SBX: A new multi-objective evolutionary algorithm based on decomposition with artificial raindrop algorithm and simulated binary crossover.
Knowl. Based Syst., 2016
The performance comparison of a new version of artificial raindrop algorithm on global numerical optimization.
Neurocomputing, 2016
2014
Henig globally efficiency for set-valued optimization and vector variational inequality.
J. Syst. Sci. Complex., 2014
2013
Optimality of Global Proper Efficiency for cone-Arcwise Connected Set-Valued Optimization using Contingent Epiderivative.
Asia Pac. J. Oper. Res., 2013
2012
Optimality of E-pseudoconvex multi-objective programming problems without constraint qualifications.
Optim. Lett., 2012
J. Appl. Math., 2012
Higher-Order Weakly Generalized Epiderivatives and Applications to Optimality Conditions.
J. Appl. Math., 2012
Henig Proper Efficiency for Set-valued Optimization and Vector Variational Inequality.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012
Optimality of Globally Proper Effcient Solutions in Set-valued Optimization Involving Directional Derivatives.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012
2009
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
2008
Optimality for ( <i>h, phi</i> )-multiobjective programming involving generalized type-I functions.
J. Glob. Optim., 2008
2007
Comput. Math. Appl., 2007