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Hatamlou A.,Islamic Azad University at Khoy | Hatamlou A.,National University of Malaysia | Abdullah S.,National University of Malaysia | Nezamabadi-Pour H.,Shahid Bahonar University of Kerman
Swarm and Evolutionary Computation | Year: 2012

Clustering is an attractive and important task in data mining that is used in many applications. Clustering refers to grouping together data objects so that objects within a cluster are similar to one another, while objects in different clusters are dissimilar. K-means is a simple and efficient algorithm that is widely used for data clustering. However, its performance depends on the initial state of centroids and may trap in local optima. The gravitational search algorithm (GSA) is one effective method for searching problem space to find a near optimal solution. In this paper, we present a hybrid data clustering algorithm based on GSA and k-means (GSA-KM), which uses the advantages of both algorithms. The GSA-KM algorithm helps the k-means algorithm to escape from local optima and also increases the convergence speed of the GSA algorithm. We compared the performance of GSA-KM with other well-known algorithms, including k-means, genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO), honey bee mating optimization (HBMO), particle swarm optimization (PSO) and gravitational search algorithm (GSA). Five real and standard datasets from the UCI repository have been used to demonstrate the results of the algorithms. The experimental results are encouraging in terms of the quality of the solutions and the convergence speed of the proposed algorithm. © 2012 Elsevier B.V. All rights reserved.


The objective of the present study was to examine the effects of dietary ginger rhizome (Zingiber officinale) supplementation on growth performance, intestinal morphology and microflora population, carcass traits, and serum metabolites in Japanese quail. Six diets containing 0, 500, 600, 700, 800, and 900 mg of ginger powder per kilogram of diet were formulated. Each diet was offered ad libitum to four replicate cages of quail (12 birds per cage) for 35 days. Performance, carcass characteristics, intestinal morphology and microflora population and blood biochemistry parameters were assessed on day 35. Body weight gain, feed conversion, intestinal microflora and carcass and breast weights were significantly improved in the ginger treated quail compared to control quail whereas feed intake, intestinal morphology, relative weights of liver, gizzard and heart were not significantly affected. In addition, concentrations of cholesterol, triglyceride and LDL in the serum were markedly reduced in quail supplemented with ginger powder compared to control quail at the end of the experimental period (day 35) while concentrations of HDL, glucose and total protein were not significantly changed. These results show that the addition of ginger improved the intestinal microflora, leading to more nutrients being assimilated and consequently increasing production performance in quail. © Verlag Eugen Ulmer, Stuttgart.


Farhadian M.,Islamic Azad University at Khoy
Genetics and molecular research : GMR | Year: 2012

Myostatin, a transforming growth factor-beta superfamily member, has been well documented as a negative regulator of muscle growth and development. Myostatin, which has 376 amino acids, is synthesized as a precursor protein. Polymorphism of the myostatin gene in Makoei sheep was investigated by PCR and single-strand conformation polymorphism technique (SSCP). Genomic DNA of 92 sheep was isolated from whole blood. A 417-bp myostatin intron I segment was amplified by standard PCR, using locus-specific primers. Four SSCP patterns, representing four different genotypes, were identified. The frequencies of the genotypes were 0.413, 0.293, 0.130, and 0.163 for AD, AC, AE, and BC, respectively. Allele frequencies were 0.4185, 0.0815, 0.2283, 0.2065, and 0.0652 for A, B, C, D, and E, respectively. Observed heterozygosity was 0.7192. There was significant deviation from Hardy-Weinberg equilibrium for this locus. Analysis of myostatin gene sequences revealed heterozygous SNPs, which were in agreement with results obtained in the SSCP analysis. We concluded that SSCP analysis is a quick, sensitive and reliable technique for determination of DNA polymorphisms. The effect of these genotypes on some traits was investigated, and the AD genotype was found to be associated with birth weight. No phenotypic associations were detected with the other genotypes. No associations of myostatin variants with weight gain were detected. We conclude that polymorphism in the ovine myostatin gene is associated with birth weight, but not with weight gain in Iranian Makoei sheep.


Hatamlou A.,Islamic Azad University at Khoy | Hatamlou A.,National University of Malaysia
Information Sciences | Year: 2013

Nature has always been a source of inspiration. Over the last few decades, it has stimulated many successful algorithms and computational tools for dealing with complex and optimization problems. This paper proposes a new heuristic algorithm that is inspired by the black hole phenomenon. Similar to other population-based algorithms, the black hole algorithm (BH) starts with an initial population of candidate solutions to an optimization problem and an objective function that is calculated for them. At each iteration of the black hole algorithm, the best candidate is selected to be the black hole, which then starts pulling other candidates around it, called stars. If a star gets too close to the black hole, it will be swallowed by the black hole and is gone forever. In such a case, a new star (candidate solution) is randomly generated and placed in the search space and starts a new search. To evaluate the performance of the black hole algorithm, it is applied to solve the clustering problem, which is a NP-hard problem. The experimental results show that the proposed black hole algorithm outperforms other traditional heuristic algorithms for several benchmark datasets. © 2012 Elsevier Inc. All rights reserved.


Zeinali A.,Islamic Azad University at Khoy
Life Science Journal | Year: 2013

The purpose of this study is to investigate the prevalence of addiction susceptibility (AS) from the viewpoint of psycho-social development in the students of West Azerbaijan Islamic Azad Universities. Through the identification of potential drug abuse contribute to the guidance in programs of drug demand reduction. The study population consisted of undergraduate students who were aged 18 to 41 years. 592 students participated in this study and were chosen using cluster random sampling method from Islamic Aza Universities of Urmia, Khoy, Makou, Mahabad and Boukan. Data were gathered through Addiction Susceptibility Questionnaire - Student Version (ASQSV) based on their gender, major, and academic years. Results showed the prevalence of students AS is 4.4 percent. Prevalence of AS in male students is more than females, the single more than married, younger more than older, students of agricultural and engineering departments more than other departments and regular users of cigarettes more than occasional users and non-users of cigarettes. Knowing this information is essential to drug demand reduction programs that male students, singles, low age, students of agricultural and technical departments and students who use cigarettes occasionally or permanently are the most important target groups for primary prevention programs.


Hosseini R.,Islamic Azad University at Khoy
Journal of Computational Electronics | Year: 2016

In this paper, we have analyzed the electrical characteristics of Strained Junctionless Double-Gate MOSFET (Strained JL DG MOSFET). A quantum mechanical transport approach based on non-equilibrium Green’s function (NEGF) method with the use of uncoupled mode space approach has been employed for this analysis. We have investigated the effects of high-(Formula presented.) materials as gate and spacer dielectrics on the device performance. Low OFF-state current, low DIBL, and low subthreshold slope have been obtained with increase in the gate and spacer dielectric constants. The electrical characteristics of strained JL DG MOSFET have also been compared with conventional JL DG MOSFET and Inversion Mode (IM) DG MOSFET. The results indicated that the Strained JL DG MOSFET outperforms the conventional JL and IM DG MOSFETs, yielding higher values of drain current. © 2016 Springer Science+Business Media New York


Mirjalili S.,Griffith University | Mirjalili S.,Queensland Institute of Business and Technology | Mirjalili S.M.,Zharfa Pajohesh System ZPS Co. | Hatamlou A.,Islamic Azad University at Khoy
Neural Computing and Applications | Year: 2016

This paper proposes a novel nature-inspired algorithm called Multi-Verse Optimizer (MVO). The main inspirations of this algorithm are based on three concepts in cosmology: white hole, black hole, and wormhole. The mathematical models of these three concepts are developed to perform exploration, exploitation, and local search, respectively. The MVO algorithm is first benchmarked on 19 challenging test problems. It is then applied to five real engineering problems to further confirm its performance. To validate the results, MVO is compared with four well-known algorithms: Grey Wolf Optimizer, Particle Swarm Optimization, Genetic Algorithm, and Gravitational Search Algorithm. The results prove that the proposed algorithm is able to provide very competitive results and outperforms the best algorithms in the literature on the majority of the test beds. The results of the real case studies also demonstrate the potential of MVO in solving real problems with unknown search spaces. Note that the source codes of the proposed MVO algorithm are publicly available at http://www.alimirjalili.com/MVO.html. © 2015, The Natural Computing Applications Forum.


Hatamlou A.,Islamic Azad University at Khoy | Hatamlou A.,National University of Malaysia
Pattern Recognition Letters | Year: 2012

Data clustering is an important technique in data mining. It is a method of partitioning data into clusters, in which each cluster must have data of great similarity and different clusters must have data of high dissimilarity. A lot of clustering algorithms are found in the literature. In general, there is no single algorithm that is suitable for all types of data, conditions and applications. Each algorithm has its own advantages, limitations and shortcomings. Therefore, introducing novel and effective approaches for data clustering is an open and active research area. This paper presents a novel binary search algorithm for data clustering that not only finds high quality clusters but also converges to the same solution in different runs. In the proposed algorithm a set of initial centroids are chosen from different parts of the test dataset and then optimal locations for the centroids are found by thoroughly exploring around of the initial centroids. The simulation results using six benchmark datasets from the UCI Machine Learning Repository indicate that proposed algorithm can efficiently be used for data clustering. © 2012 Elsevier B.V. All rights reserved.


Javidy B.,Islamic Azad University at Khoy | Hatamlou A.,Islamic Azad University at Khoy | Mirjalili S.,Griffith University
Applied Soft Computing Journal | Year: 2015

Abstract This paper proposes a novel optimization algorithm inspired by the ions motion in nature. In fact, the proposed algorithm mimics the attraction and repulsion of anions and cations to perform optimization. The proposed algorithm is designed in such a way to have the least tuning parameters, low computational complexity, fast convergence, and high local optima avoidance. The performance of this algorithm is benchmarked on 10 standard test functions and compared to four well-known algorithms in the literature. The results demonstrate that the proposed algorithm is able to show very competitive results and has merits in solving challenging optimization problems. © 2015 Elsevier B.V. All rights reserved.


Aminkhani A.,Islamic Azad University at Khoy
Heterocyclic Communications | Year: 2013

Synthesis of 3-(t-butylimino or cyclohexylimino)-2-aryl-2,3- dihydropyrrolo[2,1-a]isoquinoline-1,1(10b H)-dicarbonitriles was developed through a one-pot fourcomponent high-yield reaction of malononitrile, an aldehyde, isoquinoline and t-butylisocyanide or cyclohexylisocyanide. The simple, mild, and efficient reaction is conducted in dichloromethane at room temperature.

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