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مرکز اطلاعات علمی SID1
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Title: 
Author(s): 

Issue Info: 
  • Year: 

    0
  • Volume: 

    9
  • Issue: 

    4 (پیاپی 35)
  • Pages: 

    -
Measures: 
  • Citations: 

    0
  • Views: 

    948
  • Downloads: 

    0
Keywords: 
Abstract: 

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 948

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Author(s): 

DAREHMIRAKI MAJID

Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    1-7
Measures: 
  • Citations: 

    1
  • Views: 

    1408
  • Downloads: 

    901
Abstract: 

Vehicle routing problem is very important and logistic in combinatorial optimization. In this paper, an innovative algorithm that combines the colony of ants and mutation operation for vehicle routing problem is presented.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 1408

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    9-25
Measures: 
  • Citations: 

    1
  • Views: 

    2923
  • Downloads: 

    871
Abstract: 

A Quadratic Programming (QP) problem is a special class of nonlinear programming problems with the objective function of the quadratic form subject to linear constraint. The conventional quadratic programming model requires the parameters to be known constants. However QP has been widely applied to solve real world problems. On the other hand, a wide variety of problems that we deal with in our real life, and we decide according to the solution of the mathematical models are inaccurate concepts or the sets with uncertain bounds. The parameter values used would be based on a prediction of future conditions which inevitably involves some degree of uncertainty. Consequently modeling these problems as quadratic programming with fuzzy parameters is one of the interested fields in operations research. This paper presents a new approach to solve fuzzy quadratic programming problems where the cost coefficients, constraint coefficients, and right-hand sides are represented by convex fuzzy numbers. This method reduces the fuzzy quadratic programming problem to two classical quadratic programming problems using fuzzy concepts. These conventional quadratic problems can be solved using the SQP algorithm, leading to the upper bound and the lower bound of the optimal value at specific a-level respectively. Moreover we extend this method for a more general quadratic programming problem in which all parameters in the problem are all fuzzy numbers. Finally an example is presented to describe and demonstrate the efficiency of the proposed method, of optimization problem.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 2923

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Author(s): 

ADELI O.

Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    27-41
Measures: 
  • Citations: 

    1
  • Views: 

    1737
  • Downloads: 

    962
Abstract: 

In this paper we evaluate the performance of mutual funds that are already active in the country. Evaluation has been done using conventional criteria and data envelopment analysis (DEA). Considering the inputs and outputs of the DEA method, it has been found that it is more suitable than traditional methods for performance evaluation of the fund. Inputs consist of risk factors, such as standard deviation, beta and market square half - variance and costs of issuance and cancellation of investment units. Outputs include Downside and the best time. Based on the results of the DEA method and 29 funds eight full performance are investigated. Inefficiency is in other inputs, respectively, in units of unit investment factors such as percentage of export price index, half - variance, standard deviation and market beta. The inefficiency in output due to the low ratio of the rate of return is higher. To achieve efficiency, the fund should seek to reduce the cost of inputs, particularly of investment units.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 1737

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    43-53
Measures: 
  • Citations: 

    1
  • Views: 

    3125
  • Downloads: 

    713
Abstract: 

Economic management units of agriculture is a major factor in increasing production and performance and also reducing costs and agricultural inputs. Therefore, the efficiency of crops of jahrom city has been evaluated and then interval and technical efficiency and input slacks have been calculated for the five products of this city. This study was based on data envelopment analysis and statistics and information obtained through the completion the 120 questionnaires from farmers in three parts namely central, khafr and kordian and agricultural jahad and regional water organization experts in Jahrom city. result showed that the mean of interval efficiency is in the interval (0.230, 0.858). the average technical efficiency is 0.966 and 75% from data are performance equal to one. Maximum and minimum efficiency is 100% and 88%, the surplus value for the water input in the case of constant return to scale, in barley and wheat, was 373.915 and 610.46 cubic meters per hectare.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 3125

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    55-69
Measures: 
  • Citations: 

    1
  • Views: 

    941
  • Downloads: 

    535
Abstract: 

Investors in their decisions to select an appropriate portfolio consider several objectives simultaneously such as the rate of return, the liquidity and the risk. These objectives may be sometimes in conflict with each other. Generally the portfolio managers seek the best combination of the stocks that meets their investment objectives. Therefore in this paper the researchers also analyzed previous research and compared optimization portfolio models, then with the help of Goal Programming (A model of Multi- criteria decision analysis), the model will be presented considering the objective functions as: return maximization, risk minimization, skewness portfolio returns maximization, kurtosis portfolio returns minimization, then the researchers being able to select the best combination of stocks. Hence the 10 first companies of 50 companies active in the Tehran Stock Exchange have been selected for the last quarter of the year 2011. The required information for each share has been calculated from TADBIR and SPSS, and then with Placement the data in the model, the model is solved using the LINGO and the investment amount per share is finally determined.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 941

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    71-84
Measures: 
  • Citations: 

    0
  • Views: 

    954
  • Downloads: 

    508
Abstract: 

This paper presents a novel non-linear programming model in dynamic cellular manufacturing systems (DCMS). In this model, each part can split on any machine that is able to operate it (lot splitting). Also in this paper machine and cell idleness cost is considered, that is mean for allocated parts and machines to machines and cells machine and cell idleness cost is considered. Finally, a numerical example is solved by the lingo 9 software to verify the performance of proposed model.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 954

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    85-106
Measures: 
  • Citations: 

    1
  • Views: 

    2171
  • Downloads: 

    977
Abstract: 

Transportation plays a key role in economic, production and service provider systems and has a high effect in GNP scale of each country. Therefore, researchers try to omit the unnecessary paths in order to minimize the traversed links in the network. On the other hand, distribution is an important issue in production industry because it has been estimated that 20 percent of final price is spent on transportation. Improving the distribution system of each company leads the higher productivity. Vehicle Routing Problem (VRP) tries to improve the distribution system. In this paper, demand of customer is considered as a fuzzy variable and transportation time between nodes is also assumed to have a probability distribution. Due to the complexity of the model, a new multi-objective Imperialist Competitive Algorithm (MOICA) is developed for obtaining Pareto optimal solutions. The performance of the proposed solution algorithm is compared with that of two well-known meta-heuristics, namely, non-dominated sorting genetic algorithm (NSGA-II) and Pareto archive evolution strategy (PAES). Computational results show that MOICA outperforms the other meta-heuristics.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 2171

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Author(s): 

AMIN TAHMASBI H. | MOHSENI M.

Issue Info: 
  • Year: 

    2013
  • Volume: 

    9
  • Issue: 

    4 (35)
  • Pages: 

    107-120
Measures: 
  • Citations: 

    0
  • Views: 

    1584
  • Downloads: 

    543
Abstract: 

One of the problems which traffic police work force always encounter is the available optimized scheduling of the equipment and personnel in order to protect the road’ safety in the main and mobile post of duty. This article is offering a multi-objective model considering work force, expenses, goals, installation, maintenance of cameras and fuel, and then it will focus on model solution using Guilan province's traffic police data and information. The results of the model solution suggest changes in present working shifts from fixed working shift to a 6-shift rotating system.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 1584

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