Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Non linear Programming
1. Solution of optimal control problems using shifted chebyshev polynomial

Hajar Alimorad

Articles in Press, Accepted Manuscript, Available Online from 21 February 2021

  This paper suggests a new and efficient method for solving linear quadratic optimal control problems. A shifted chebyshev matrix approach is implemented for solving this problem. In this method, the problem of optimal control changes into a problem of non-linear programming which can be solved easily.The ...  Read More

Non linear Programming
2. A Method for Solving Convex Quadratic Programming Problems Based on Differential-algebraic equations

Masomeh Abbasi

Volume 11, Issue 2 , Autumn 2019, , Pages 107-113

  In this paper, a new model based on differential-algebraic equations(DAEs) for solving convex quadratic programming(CQP) problems is proposed. It is proved that the new approach is guaranteed to generate optimal solutions for this class of optimization problems. This paper also shows that the conventional ...  Read More

Non linear Programming
3. Comparative Study of Particle Swarm Optimization and Genetic Algorithm Applied for Noisy Non-Linear Optimization Problems

Hossein Towsyfyan; Amin Kolahdooz; Hazem Esmaeel; Shahed Mohammadi

Volume 11, Issue 1 , Spring 2019, , Pages 9-16

  Optimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem ...  Read More

Non linear Programming
4. Optimization of solution stiff differential equations using MHAM and RSK methods

Shadan Sadigh Behzadi

Volume 11, Issue 1 , Spring 2019, , Pages 17-21

  In this paper, a nonlinear stiff differential equation is solved by using the Rosenbrock iterative method, modified homotpy analysis method and power series method. The approximate solution of this equation is calculated in the form of series which its components are computed by applying a recursive ...  Read More

Non linear Programming
5. A numerical approach for optimal control model of the convex semi-infinite programming

Hamid Rouhparvar

Volume 7, Issue 2 , Autumn 2015, , Pages 823-829

  In this paper, convex semi-infinite programming is converted to an optimal control model of neural networks and the optimal control model is solved by iterative dynamic programming method. In final, numerical examples are provided for illustration of the purposed method.  Read More