Xingbao Gao

Orcid: 0000-0002-3253-7529

Affiliations:
  • Shaanxi Normal University, School of Mathematics and Statistics, Xian, China


According to our database1, Xingbao Gao authored at least 42 papers between 2001 and 2024.

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Bibliography

2024
Novel Continuous- and Discrete-Time Neural Networks for Solving Quadratic Minimax Problems With Linear Equality Constraints.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

An enhanced adaptive differential evolution algorithm with dual performance evaluation metrics for numerical optimization.
Swarm Evol. Comput., February, 2024

2023
Water cycle algorithm with adaptive sea and rivers and enhanced position updating strategy for numerical optimization.
Neural Comput. Appl., June, 2023

2022
Synchronization and Quasi-Synchronization of Delayed Fractional Coupled Memristive Neural Networks.
Neural Process. Lett., 2022

2021
A modified parameterized shift-splitting preconditioner for saddle point problems.
Comput. Appl. Math., 2021

2020
Exponential State Estimation for Stochastically Disturbed Discrete-Time Memristive Neural Networks: Multiobjective Approach.
IEEE Trans. Neural Networks Learn. Syst., 2020

Exponential Stability and Sampled-Data Synchronization of Delayed Complex-Valued Memristive Neural Networks.
Neural Process. Lett., 2020

Performance-driven adaptive differential evolution with neighborhood topology for numerical optimization.
Knowl. Based Syst., 2020

Exponential Stabilization Control of Delayed Quaternion-Valued Memristive Neural Networks: Vector Ordering Approach.
Circuits Syst. Signal Process., 2020

Convergence analysis for modified PAHSS-PU method with new parameter setting.
Comput. Appl. Math., 2020

Stability and synchronization control of inertial neural networks with mixed delays.
Appl. Math. Comput., 2020

2019
An improved differential evolution with information intercrossing and sharing mechanism for numerical optimization.
Swarm Evol. Comput., 2019

Exponential Synchronization of Stochastic Memristive Neural Networks with Time-Varying Delays.
Neural Process. Lett., 2019

Differential evolution with neighborhood-based adaptive evolution mechanism for numerical optimization.
Inf. Sci., 2019

Dissipativity and exponential state estimation for quaternion-valued memristive neural networks.
Neurocomputing, 2019

One-layer neural network for solving least absolute deviation problem with box and equality constraints.
Neurocomputing, 2019

Spectral analysis of the matrix splitting preconditioner for block two-by-two linear systems.
Comput. Appl. Math., 2019

Quasi-state estimation and quasi-synchronization control of quaternion-valued fractional-order fuzzy memristive neural networks: Vector ordering approach.
Appl. Math. Comput., 2019

Non-fragile state estimation for delayed fractional-order memristive neural networks.
Appl. Math. Comput., 2019

2017
A Novel Neural Network for Generally Constrained Variational Inequalities.
IEEE Trans. Neural Networks Learn. Syst., 2017

A new neural network for convex quadratic minimax problems with box and equality constraints.
Comput. Chem. Eng., 2017

Differential evolution with improved individual-based parameter setting and selection strategy.
Appl. Soft Comput., 2017

A Gravitation-Based Chaos Water Cycle Algorithm for Numerical Optimization.
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017

2016
A new neural network for l<sub>1</sub>-norm programming.
Neurocomputing, 2016

An Improved Differential Evolution with a Novel Restart Mechanism.
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016

2014
Analysis and Application of A One-Layer Neural Network for Solving Horizontal Linear Complementarity Problems.
Int. J. Comput. Intell. Syst., 2014

2013
Preconditioned AOR Iterative Method for M-Matrix.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

Image Restoration Combining Tikhonov with Different Order Nonconvex Nonsmooth Regularizations.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

2011
Stability and Convergence Analysis for a Class of Neural Networks.
IEEE Trans. Neural Networks, 2011

A Neural Network for a Class of Horizontal Linear Complementary Problems.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010
A new one-layer neural network for linear and quadratic programming.
IEEE Trans. Neural Networks, 2010

2009
A New Projection-Based Neural Network for Constrained Variational Inequalities.
IEEE Trans. Neural Networks, 2009

2006
A Novel Neural Network for a Class of Convex Quadratic Minimax Problems.
Neural Comput., 2006

A Neural Network with Finite-Time Convergence for a Class of Variational Inequalities.
Proceedings of the Intelligent Computing, 2006

2005
A novel neural network for variational inequalities with linear and nonlinear constraints.
IEEE Trans. Neural Networks, 2005

2004
A neural network for a class of convex quadratic minimax problems with constraints.
IEEE Trans. Neural Networks, 2004

A novel neural network for nonlinear convex programming.
IEEE Trans. Neural Networks, 2004

Neural networks for nonlinear and mixed complementarity problems and their applications.
Neural Networks, 2004

2003
A high-performance feedback neural network for solving convex nonlinear programming problems.
IEEE Trans. Neural Networks, 2003

Exponential stability of globally projected dynamic systems.
IEEE Trans. Neural Networks, 2003

2002
A Neural Network for Solving Nonlinear Programming Problems.
Neural Comput. Appl., 2002

2001
A new gradient-based neural network for solving linear and quadratic programming problems.
IEEE Trans. Neural Networks, 2001


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