Rasht, Iran

Islamic Azad University of Langaroud is a campus of Islamic Azad University system in Iran.The university was established in 1988 by some professors of Tehran University of Medical science include Dr. Mir Mozafar Maysoumi who was the first President of the university.So far 16000 students graduated from university. Wikipedia.


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Ahandani M.A.,Islamic Azad University at Langaroud
Swarm and Evolutionary Computation | Year: 2016

The opposition-based learning (OBL) strategy by comparing the fitness of an individual to its opposite and retaining the fitter one in the population accelerates search process. In this paper, the OBL is employed to speed up the shuffled bidirectional differential evolution (SBDE) algorithm. The SBDE by employing the partitioning, shuffling and bidirectional optimization concepts increases the number and diversity of search moves in respect to the original differential evolution (DE). So with incorporating the SBDE and OBL strategy, we can obtain the algorithms with an ability of better exploring the promising areas of search space without occurring stagnation or premature convergence. Experiments on 25 benchmark functions and non-parametric analysis of obtained results demonstrate a better performance of our proposed algorithms than original SBDE algorithm. Also an extensive performance comparison the proposed algorithms with some modern and state-of-the-art DE algorithms reported in the literature confirms a statistically significantly better performance of proposed algorithms in most cases. In a later part of the comparative experiments, firstly proposed algorithms are compared with other evolutionary algorithms (EAs) proposed for special session CEC2005. Then a comparison against a wide variety of recently proposed EAs is performed. The obtained results show that in most cases the proposed algorithms have a statistically significantly better performance in comparable to several existing EAs. © 2015 Elsevier B.V. All rights reserved.


Mehran S.,Islamic Azad University at Langaroud | Rouhi S.,Islamic Azad University at Langaroud | Ramzani B.,Islamic Azad University at Langaroud | Barati E.,Malek-Ashtar University of Technology
Fatigue and Fracture of Engineering Materials and Structures | Year: 2012

One of the most powerful criteria to predict the critical fracture load in plates with notches is the strain-energy density averaged over a well-defined control volume ahead of the notch tip. Although the averaged strain-energy density (ASED) criterion has been proposed for homogeneous materials, it has been shown in this paper that this criterion can also be applied for non-homogeneous materials, especially for functionally graded materials (FGMs). A numerical method has been used to evaluate the control volume boundary, the averaged strain-energy density over the control volume, and also the critical fracture load in FGMs under mode I loading. A new set of experimental results on fracture of blunt V-notched samples made of austenitic-martensitic functionally graded steel under mode I loading have been provided. © 2012 Blackwell Publishing Ltd.


Biparva P.,Islamic Azad University at Langaroud | Biparva P.,University of Mazandaran | Hadjmohammadi M.R.,University of Mazandaran
Clean - Soil, Air, Water | Year: 2011

The present paper proposes the application of multiwalled carbon nanotubes (MWCNTs) as a solid adsorbent for selective separation/preconcentration of silver(I) in water samples prior to flame atomic absorption spectrometry. The procedure is based on the solid phase extraction of Ag(I)-2-mercaptobenzothiazole chelate on MWCNTs. The elution step is carried out with 5mL of 2molL -1 HNO 3 in acetone solution at a flow rate of 1.0mLmin -1. The influences of the various analytical parameters including pH of the solution, eluent type, sample volume, flow rates of eluent, matrix ions were investigated for optimization of the presented procedure. Tests of addition/recovery for analyte ion in real samples were performed with satisfactory results. Preconcentration factor and limit of detection for Ag(I) were 160 and 0.21μgL -1, respectively. The synthesized MWCNT exhibited excellent stability in eluent solution and its adsorption capacity was 5.4mg of silver per gram of sorbent. The proposed method was successfully applied to trace silver determination in a variety of environmental water samples. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Rouhi S.,Islamic Azad University at Langaroud | Ansari R.,Guilan University
Physica E: Low-Dimensional Systems and Nanostructures | Year: 2012

In this article, an atomistic model is developed to study the buckling and vibration characteristics of single-layered graphene sheets (SLGSs). By treating SLGSs as spaceframe structures, in which the discrete nature of graphene sheets is preserved, they are modeled using three-dimensional elastic beam elements for the bonds. The elastic moduli of the beam elements are determined via a linkage between molecular mechanics and structural mechanics. Based on this model, the critical compressive forces and fundamental natural frequencies of single-layered graphene sheets with different boundary conditions and geometries are obtained and then compared. It is indicated that the compressive buckling force decreases when the graphene sheet aspect ratio increases. At low aspect ratios, the increase of aspect ratios will result in a significant decrease in the critical buckling load. It is also indicated that increasing aspect ratio at a given side length results in the convergence of buckling envelops associated with armchair and zigzag graphene sheets. The influence of boundary conditions will be studied for different geometries. It will be shown that the influence of boundary conditions is not significant for sufficiently large SLGSs. © 2011 Elsevier B.V. All rights reserved.


Ahandani M.A.,Islamic Azad University at Langaroud | Alavi-Rad H.,Islamic Azad University at Langaroud
Information Sciences | Year: 2015

This paper proposes using the opposition-based learning (OBL) strategy in the shuffled frog leaping (SFL). The SFL divides a population into several memeplexes and then improves each memeplex in an evolutionary process. The OBL by comparing the fitness of an individual to its opposite and retaining the fitter one in the population accelerates search process. The objective of this paper is to introduce new versions of the SFL which employ on one hand the OBL to accelerate the SFL without making premature convergence and on the other hand use the OBL strategy to diversify search moves of SFL. Four versions of SFL algorithm are proposed by incorporating the OBL and the SFL. All algorithms similarly use the opposition-based population initialization to achieve fitter initial individuals and their difference is in applying opposition-based generation jumping. Experiments are performed on parameter identification problems. The obtained results demonstrate that incorporating the opposition-based strategy and SFL performed in a proper way is a good idea to enhance performance of SFL. Two versions of opposition-based SFL outperform their pure competitor i.e., SFL in terms of all aspects on all problems but two other versions of SFL obtained a worse performance than the pure SFL. Also some performance comparisons of the proposed algorithms with some other algorithms reported in the literature confirm a significantly better performance of our proposed algorithms. Also in final part of the comparison study, a comparison of the proposed algorithm in this study in respect to other algorithms on CEC05 functions demonstrates a completely comparable performance of proposed algorithm. © 2014 Elsevier Inc. All rights reserved.


Ahandani M.A.,Islamic Azad University at Langaroud | Alavi-Rad H.,Islamic Azad University at Langaroud
Soft Computing | Year: 2012

This paper proposes using the opposition-based learning (OBL) strategy in the shuffled differential evolution (SDE). In the SDE, population is divided into several memeplexes and each memeplex is improved by the differential evolution (DE) algorithm. The OBL by comparing the fitness of an individual to its opposite and retaining the fitter one in the population accelerates search process. The objective of this paper is to introduce new versions of the DE which, on one hand, use the partitioning and shuffling concepts of SDE to compensate for the limited amount of search moves of the original DE and, on the other hand, employ the OBL to accelerate the DE without making premature convergence. Four versions of DE algorithm are proposed based on the OBL and SDE strategies. All algorithms similarly use the opposition-based population initialization to achieve fitter initial individuals and their difference is in applying opposition-based generation jumping. Experiments on 25 benchmark functions designed for the special session on real-parameter optimization of CEC2005 and non-parametric analysis of obtained results demonstrate that the performances of the proposed algorithms are better than the SDE. The fourth version of proposed algorithm has a significant difference compared to the SDE in terms of all considered aspects. The emphasis of comparison results is to obtain some successful performances on unsolved functions for the first time, which so far have not been reported any successful runs on them. In a later part of the comparative experiments, performance comparisons of the proposed algorithm with some modern DE algorithms reported in the literature confirm a significantly better performance of our proposed algorithm, especially on high-dimensional functions. © 2012 Springer-Verlag.


Alinia Ahandani M.,Islamic Azad University at Langaroud | Vakil Baghmisheh M.T.,University of Tabriz | Badamchi Zadeh M.A.,University of Tabriz | Ghaemi S.,University of Tabriz
Swarm and Evolutionary Computation | Year: 2012

Examination timetabling is a discrete, multi-objective and combinatorial optimization problem which tends to be solved with a cooperation of stochastic search approaches such as evolutionary algorithms (EAs) and heuristic methods such as sequential graph coloring heuristics. This research investigates the use of discrete particle swarm optimization (DPSO) for solving examination timetabling problem. A combination of mutation, specialist recombination operator and graph coloring heuristics are used to update position of particles in the DPSO. A new local search method, called two staged hill climbing, is proposed and is utilized to hybridize the DPSO algorithm. Three structures for the DPSO and three strategies to hybridize it are proposed. On one hand, since the proposed DPSO algorithms such as hyper-heuristics methods employ a strategy to manage a set of constructive low-level heuristics, they can be classified as hyper-heuristic systems and, on the other hand, the DPSO is a stochastic global optimization method from class of EAs. The proposed algorithms are tested on a set of Carter benchmark problems to set the parameters of algorithms and also to compare different methods. The obtained results demonstrate that the proposed hill climbing local search, in spite of its simplicity, has a better performance than original hill climbing method. Among different graph coloring heuristics, those of algorithms which employ the saturation degree heuristic lead to the better results. Also among different proposed algorithms, the first structure of DPSO and third strategy of hybridizing obtain a better performance than the other structures and strategies. In a later part of the comparative experiment, performance comparisons of the proposed algorithms with some other hyper-heuristic and EA methods are done. The obtained results confirm that the proposed hybrid algorithm has a better, or at least comparable, performance than other hyper-heuristic systems. Also it obtains the best results among hyper-heuristic systems on some problems. Also in comparison of other EAs, it has a completely comparable performance. © 2012 Elsevier B.V. All rights reserved.


Ranjbari E.,University of Mazandaran | Biparva P.,Islamic Azad University at Langaroud | Hadjmohammadi M.R.,University of Mazandaran
Talanta | Year: 2012

A sensitive, rapid and efficient method for the extraction of quercetin as well as its determination in honey and biological samples was developed using inverted dispersive liquid-liquid microextraction (IDLLME) and HPLC-UV. The extraction method is based on the application of an extracting solvent lighter than water in the ternary component solvent (aqueous solution: extracting solvent: disperser solvent) system. The extraction parameters such as type and volume of extracting and disperser solvent, pH of sample, stirring rate and extraction time were optimized. Under the optimal conditions (extracting solvent: 100 μL 1-octanol; disperser solvent: 300 μL acetonitrile; pH of sample: 4.5 and stirring rate: 1000 rpm) a linear calibration curve was obtained in the range of 0.5-1000 ng mL -1 with R 2 = 0.9993 (n = 10). The limits of detection and quantification were 0.26 and 0.78 ng mL -1, respectively. The extraction recovery was 97% and the preconcentration factor was 243. While the relative standard deviation for 25 ng mL -1 was 3.51 (n = 5), it was 2.12 (n = 5) for 500 ng mL -1 of quercetin. The method was successfully applied for the preconcentration and determination of quercetin in honey, urine and plasma samples. © 2011 Elsevier B.V. All rights reserved.


Vakil-Baghmisheh M.T.,University of Tabriz | Ahandani M.A.,Islamic Azad University at Langaroud
Artificial Intelligence Review | Year: 2014

Memetic algorithms have been devised to rectify the absence of a local search mechanism in evolutionary algorithms. This paper proposes a differentialmemetic algorithm (DMA). To this end, first we propose a differential bidirectional random search as a local search algorithm. Then, a randomized blending crossover (RBleX) is proposed which aimed to scatter the new born offspring more diversely in the whole search space. We devise our proposed DMA, by using the RBleX crossover in the GA, and including the DBRS local search algorithm. A comparison of the performance of the DMA and those of seven other evolutionary/memetic or hybrid algorithms reported in two different papers on numerous bechmark functions demonstrates better performance of proposed DMA algorithm in most of the cases.©Springer Science+Business Media B.V. 2011.


Biparva P.,Islamic Azad University at Langaroud | Ehsani M.,University of Mazandaran | Hadjmohammadi M.R.,University of Mazandaran
Journal of Food Composition and Analysis | Year: 2012

A simple, rapid and sensitive sample pretreatment technique, termed dispersive liquid-liquid microextraction (DLLME), was developed as an extraction methodology to determine two synthetic phenolic antioxidants (SPAs), butylated hydroxyanisole (BHA) and butylated hydroxytoluene (BHT), in various fruit juice samples prior to high performance liquid chromatography (HPLC). The extraction method is based on replacing the extraction solvent in the ordinary DLLME, namely the chlorinated organic solvent, with low-density organic solvents such as hexane, ethyl acetate, octanol and 2-ethyl-1-hexanol in the ternary component solvent (aqueous solution:extracting solvent:disperser solvent) system. Several factors affecting the microextraction efficiency, such as type and volume of extraction and dispersive solvents, pH of the sample solution, extraction time, ionic strength and extraction temperature, were investigated. Under the optimum conditions, the method yielded a linear calibration curve ranging from 10 to 2500μgL -1 for BHA and 2 to 2500μgL -1 for BHT, with determination coefficients (R 2) varying from 0.9993 to 0.9989. Enrichment factors for BHA and BHT were 208 and 203, and limits of detection were 2.5 and 0.9μgL -1, respectively. The relative standard deviation percent (RSD%) for the extraction and determination at 10 and 100μgL -1 levels of target antioxidants was less than 4.7% (n=7). Finally, the designed method was successfully applied for the preconcentration and determination of the studied SPAs in different fruit juice samples, and satisfactory results were obtained. © 2012 Elsevier Inc.

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