Volume 13 (2021)
Volume 12 (2020)
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)
Data Envelopment Analysis
1. A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis

Masomeh Abbasi; Abbas Ghomashi

Volume 11, Issue 1 , Spring 2019, Pages 1-7

  In this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural network is stable in the sense ...  Read More

Non linear Programming
2. 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
3. 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

4. An efficient technique for solving systems of integral equations

Hamideh Ebrahimi

Volume 11, Issue 1 , Spring 2019, Pages 23-32

  In this paper, the wavelet method based on the Chebyshev polynomials of the second kind is introduced and used to solve systems of integral equations. Operational matrices of integration, product, and derivative are obtained for the second kind Chebyshev wavelets which will be used to convert the system ...  Read More

5. Supplier selection in the sustainable supply chain: The application of analytic hierarchy process and fuzzy data envelopment analysis

Hamid Reza Rezaei; Mohammad Taleghani; Mohsen Shafieyan; Tara Nikandam

Volume 11, Issue 1 , Spring 2019, Pages 33-47

  The development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evaluation of suppliers anymore due ...  Read More

6. Forecast of climatologically events using improved grey model (Case Study: Qazvin Province Climatology)

Maryam Karimi Khajehghiasi; Alireza Alinezhad

Volume 11, Issue 1 , Spring 2019, Pages 49-56

  The theory of grey system is used when sufficient information of the community under study is not in hand. The grey forecast model is proper when the information variety is fix and certain. Grey model can apply some additional computations to improve forecasting activities when data is insufficient. ...  Read More

Strategic Management
7. A study of Financing Decisions and Capital Structure in Real Investment

Reza Aghajan Nashtaei; Ebrahim Chirani; Mehrdad GoudarzvandChegini

Volume 11, Issue 1 , Spring 2019, Pages 57-65

  In real investment, there is a relationship between external financing and abnormal stock returns. This study predicts a negative correlation between external financing and stock returns. The dependent variable of the research is stock returns and the independent variables are net financing and equity ...  Read More

8. A New Approach for Solving Interval Quadratic Programming Problem

N. A. Taghi-Nezhad; Fatemeh Taleshian; M. Shahini

Volume 11, Issue 1 , Spring 2019, Pages 67-75

  This paper discusses an Interval Quadratic Programming (IQP) problem, where the constraints coefficients and the right-hand sides are represented by interval data. First, the focus is on a common method for solving Interval Linear Programming problem. Then the idea is extended to the IQP problem. Based ...  Read More