1. Bio-inspired Computing Paradigm for Periodic‎ Noise Reduction in Digital Images

N. Alibabaie; A.M. Latif

Volume 9, Issue 1 , Winter 2021, , Pages 19-29


  Periodic noise reduction is a fundamental problem in image processing, which severely affects the visual quality and subsequent application of the data. Most of the conventional approaches are only dedicated to either the frequency or spatial domain. In this research, we propose a dual-domain approach ...  Read More

2. DINGA: A Genetic-algorithm-based Method for Finding Important Nodes in Social Networks

H. Rahmani; H. Kamali; H. Shah-Hosseini

Volume 8, Issue 4 , Autumn 2020, , Pages 545-555


  Nowadays, a significant amount of studies are devoted to discovering important nodes in graph data. Social networks as graph data have attracted a lot of attention. There are various purposes for discovering the important nodes in social networks such as finding the leaders in them, i.e. the users who ...  Read More

3. A Combinatorial Algorithm for Fuzzy Parameter Estimation with Application to Uncertain Measurements

M. Danesh; S. Danesh

Volume 8, Issue 4 , Autumn 2020, , Pages 525-533


  This paper presents a new method for regression model prediction in an uncertain environment. In practical engineering problems, in order to develop regression or ANN model for making predictions, the average of set of repeated observed values are introduced to the model as an input variable. Therefore, ...  Read More

I.3.7. Engineering
4. A Technique for Improving Web Mining using Enhanced Genetic Algorithm

F. Nosratian; H. Nematzadeh; H. Motameni

Volume 7, Issue 4 , Autumn 2019, , Pages 597-606


  World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the ...  Read More

F.2.7. Optimization
5. Optimized Design of Nanohole Array-Based Plasmonic Color Filters Integrating Genetic Algorithm with FDTD Solutions

F. Fouladi Mahani; A. Mahanipour; A. Mokhtari

Volume 7, Issue 2 , Spring 2019, , Pages 279-286


  Recently, significant interest has been attracted by the potential use of aluminum nanostructures as plasmonic color filters to be great alternatives to the commercial color filters based on dye films or pigments. These color filters offer potential applications in LCDs, LEDs, color printing, CMOS image ...  Read More

B.3. Communication/Networking and Information Technology
6. Multi-layer Clustering Topology Design in Densely Deployed Wireless Sensor Network using Evolutionary Algorithms

Seyed M. Hosseinirad

Volume 6, Issue 2 , Summer 2018, , Pages 297-311


  Due to the resource constraint and dynamic parameters, reducing energy consumption became the most important issues of wireless sensor networks topology design. All proposed hierarchy methods cluster a WSN in different cluster layers in one step of evolutionary algorithm usage with complicated parameters ...  Read More

G. Information Technology and Systems
7. A New Hybrid model of Multi-layer Perceptron Artificial Neural Network and Genetic Algorithms in Web Design Management Based on CMS

M. Aghazadeh; F. Soleimanian Gharehchopogh

Volume 6, Issue 2 , Summer 2018, , Pages 409-415


  The size and complexity of websites have grown significantly during recent years. In line with this growth, the need to maintain most of the resources has been intensified. Content Management Systems (CMSs) are software that was presented in accordance with increased demands of users. With the advent ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
8. Tuning Shape Parameter of Radial Basis Functions in Zooming Images using Genetic Algorithm

A.M Esmilizaini; A.M Latif; Gh. Barid Loghmani

Volume 6, Issue 2 , Summer 2018, , Pages 251-262


  Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in ...  Read More

I.3.5. Earth and atmospheric sciences
9. Adaptive Network-based Fuzzy Inference System-Genetic Algorithm Models for Prediction Groundwater Quality Indices: a GIS-based Analysis

A. Jalalkamali; N. Jalalkamali

Volume 6, Issue 2 , Summer 2018, , Pages 439-445


  The prediction of groundwater quality is very important for the management of water resources and environmental activities. The present study has integrated a number of methods such as Geographic Information Systems (GIS) and Artificial Intelligence (AI) methodologies to predict groundwater quality in ...  Read More

F.2.7. Optimization
10. Non-linear Fractional-Order Chaotic Systems Identification with Approximated Fractional-Order Derivative based on a Hybrid Particle Swarm Optimization-Genetic Algorithm Method

M. Kosari; M. Teshnehlab

Volume 6, Issue 2 , Summer 2018, , Pages 365-373


  Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, ...  Read More

H.3.2.5. Environment
11. Ensemble of M5 Model Tree Based Modelling of Sodium Adsorption Ratio

M. T. Sattari; M. Pal; R. Mirabbasi; J. Abraham

Volume 6, Issue 1 , Winter 2018, , Pages 69-78


  This work reports the results of four ensemble approaches with the M5 model tree as the base regression model to anticipate Sodium Adsorption Ratio (SAR). Ensemble methods that combine the output of multiple regression models have been found to be more accurate than any of the individual models making ...  Read More

A.1. General
12. Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm

H. Kiani Rad; Z. Moravej

Volume 5, Issue 1 , Winter 2017, , Pages 11-20


  In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders ...  Read More

E.3. Analysis of Algorithms and Problem Complexity
13. Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network

M. Asghari; H. Nematzadeh

Volume 4, Issue 1 , Winter 2016, , Pages 49-54


  Suspended particles have deleterious effects on human health and one of the reasons why Tehran is effected is its geographically location of air pollution. One of the most important ways to reduce air pollution is to predict the concentration of pollutants. This paper proposed a hybrid method to predict ...  Read More

B.3. Communication/Networking and Information Technology
14. FDMG: Fault detection method by using genetic algorithm in clustered wireless sensor networks

A. Ghaffari; S. Nobahary

Volume 3, Issue 1 , Winter 2015, , Pages 47-57


  Wireless sensor networks (WSNs) consist of a large number of sensor nodes which are capable of sensing different environmental phenomena and sending the collected data to the base station or Sink. Since sensor nodes are made of cheap components and are deployed in remote and uncontrolled environments, ...  Read More

15. A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model

Sh. Mehrjoo; M. Jasemi; A. Mahmoudi

Volume 2, Issue 2 , Summer 2014, , Pages 113-123


  In this paper after a general literature review on the concept of Efficient Frontier (EF), an important inadequacy of the Variance based models for deriving EFs and the high necessity for applying another risk measure is exemplified. In this regard for this study the risk measure of Lower Partial Moment ...  Read More

16. Yarn tenacity modeling using artificial neural networks and development of a decision support system based on genetic algorithms

Mohaddeseh Dashti; Vali Derhami; Esfandiar Ekhtiyari

Volume 2, Issue 1 , Winter 2014, , Pages 73-78


  Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity ...  Read More

17. Wireless sensor network design through genetic algorithm

Seyed Mojtaba Hosseinirad; S.K. Basu

Volume 2, Issue 1 , Winter 2014, , Pages 85-96


  In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network ...  Read More

18. QoS-Based web service composition based on genetic algorithm

Mohammad AllamehAmiri; Vali Derhami; Mohammad Ghasemzadeh

Volume 1, Issue 2 , Summer 2013, , Pages 63-73


  Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available ...  Read More