Alireza Nazemi

Orcid: 0000-0003-2972-9375

According to our database1, Alireza Nazemi authored at least 52 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
An Uncertain Mean-AVaR Portfolio Selection via an Artificial Neural Network Scheme.
Int. J. Inf. Technol. Decis. Mak., March, 2024

2021
On asymptotically stabilizing control of nonlinear fractional control systems using an optimization scheme.
Trans. Inst. Meas. Control, 2021

On fractional optimal control problems with an application in fractional chaotic systems using a Legendre collocation-optimization technique.
Trans. Inst. Meas. Control, 2021

An Optimization Technique for Solving a Class of Ridge Fuzzy Regression Problems.
Neural Process. Lett., 2021

2020
Stabilization of a class of nonlinear control systems via a neural network scheme with convergence analysis.
Soft Comput., 2020

Solving variable-order fractional differential algebraic equations via generalized fuzzy hyperbolic model with application in electric circuit modeling.
Soft Comput., 2020

Müntz-Legendre neural network construction for solving delay optimal control problems of fractional order with equality and inequality constraints.
Soft Comput., 2020

A parametric recurrent neural network scheme for solving a class of fuzzy regression models with some real-world applications.
Soft Comput., 2020

On Infinite Horizon Optimal Control Problems with a Feed Forward Neural Network Scheme.
Neural Process. Lett., 2020

An Application of Generalized Fuzzy Hyperbolic Model for Solving Fractional Optimal Control Problems with Caputo-Fabrizio Derivative.
Neural Process. Lett., 2020

A new neural network framework for solving convex second-order cone constrained variational inequality problems with an application in multi-finger robot hands.
J. Exp. Theor. Artif. Intell., 2020

Fractional power series neural network for solving delay fractional optimal control problems.
Connect. Sci., 2020

On portfolio management with value at risk and uncertain returns via an artificial neural network scheme.
Cogn. Syst. Res., 2020

2019
A novel neural network for solving semidefinite programming problems with some applications.
J. Comput. Appl. Math., 2019

A novel gradient-based neural network for solving convex second-order cone constrained variational inequality problems.
J. Comput. Appl. Math., 2019

Müntz-Legendre spectral collocation method for solving delay fractional optimal control problems.
J. Comput. Appl. Math., 2019

Solving optimal control problems of the time-delayed systems by a neural network framework.
Connect. Sci., 2019

A Novel Collaborate Neural Dynamic System Model for Solving a Class of Min-Max Optimization Problems with an Application in Portfolio Management.
Comput. J., 2019

A new gradient-based neural dynamic framework for solving constrained min-max optimization problems with an application in portfolio selection models.
Appl. Intell., 2019

A new collaborate neuro-dynamic framework for solving convex second order cone programming problems with an application in multi-fingered robotic hands.
Appl. Intell., 2019

Solving multiobjective random interval programming problems by a capable neural network framework.
Appl. Intell., 2019

2018
A Capable Neural Network Framework for Solving Degenerate Quadratic Optimization Problems with an Application in Image Fusion.
Neural Process. Lett., 2018

A novel neural network model for solving a class of nonlinear semidefinite programming problems.
J. Comput. Appl. Math., 2018

The neuro-dynamic scheme for solving general form of discrete time optimal control problems.
Appl. Intell., 2018

2017
A Neural Network Approach for Solving Optimal Control Problems with Inequality Constraints and Some Applications.
Neural Process. Lett., 2017

A new neural network model for solving random interval linear programming problems.
Neural Networks, 2017

An efficient dynamic model for solving a portfolio selection with uncertain chance constraint models.
J. Comput. Appl. Math., 2017

A collocation method via block-pulse functions for solving delay fractional optimal control problems.
IMA J. Math. Control. Inf., 2017

An application of a practical neural network model for solving support vector regression problems.
Intell. Data Anal., 2017

A Dual Neural Network Scheme for Solving the Assignment Problem.
Comput. J., 2017

2016
Solving fractional optimal control problems with fixed or free final states by Haar wavelet collocation method.
IMA J. Math. Control. Inf., 2016

2015
Numerical solution of the time-delayed optimal control problems with hybrid functions.
IMA J. Math. Control. Inf., 2015

A neural network method for solving support vector classification problems.
Neurocomputing, 2015

Solving portfolio selection models with uncertain returns using an artificial neural network scheme.
Appl. Intell., 2015

2014
A computational intelligence method for solving a class of portfolio optimization problems.
Soft Comput., 2014

Time optimal control problem of the heat equation with thermal source.
IMA J. Math. Control. Inf., 2014

A neural network model for solving convex quadratic programming problems with some applications.
Eng. Appl. Artif. Intell., 2014

A Gradient-Based Neural Network Method for Solving Strictly Convex Quadratic Programming Problems.
Cogn. Comput., 2014

2013
A high performance neural network model for solving chance constrained optimization problems.
Neurocomputing, 2013

Solving general convex nonlinear optimization problems by an efficient neurodynamic model.
Eng. Appl. Artif. Intell., 2013

Solving a class of geometric programming problems by an efficient dynamic model.
Commun. Nonlinear Sci. Numer. Simul., 2013

An application of a merit function for solving convex programming problems.
Comput. Ind. Eng., 2013

2012
A capable neural network model for solving the maximum flow problem.
J. Comput. Appl. Math., 2012

2011
LP Modelling for the Time Optimal Control Problem of the Heat Equation.
J. Math. Model. Algorithms, 2011

A dynamical model for solving degenerate quadratic minimax problems with constraints.
J. Comput. Appl. Math., 2011

2007
An applicable method for solving the shortest path problems.
Appl. Math. Comput., 2007

A new numerical method by revised measure theory for solving the nonlinear initial value problems.
Appl. Math. Comput., 2007

Application of projection neural network in solving convex programming problems.
Appl. Math. Comput., 2007

Heatmap Visualization of Population Based Multi Objective Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2006
Neural network models and its application for solving linear and quadratic programming problems.
Appl. Math. Comput., 2006

Extracting a Set of Robust Pareto-Optimal Parameters for Hydrologic Models using NSGA-II and SCEM.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A new method for solving a system of the nonlinear equations.
Appl. Math. Comput., 2005


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