H.5. Image Processing and Computer Vision
A New Scheme for Lossless Meaningful Visual Secret Sharing by using XOR Properties

Z. Mehrnahad; A.M. Latif; J. Zarepour Ahmadabadi

Volume 11, Issue 2 , April 2023, , Pages 195-211

https://doi.org/10.22044/jadm.2023.12460.2395

Abstract
  In this paper, a novel scheme for lossless meaningful visual secret sharing using XOR properties is presented. In the first step, genetic algorithm with an appropriate proposed objective function created noisy share images. These images do not contain any information about the input secret image and ...  Read More

Software Testing using an Adaptive Genetic Algorithm

A.H. Damia; M. Esnaashari; M.R. Parvizimosaed

Volume 9, Issue 4 , November 2021, , Pages 465-474

https://doi.org/10.22044/jadm.2021.10018.2138

Abstract
  In the structural software test, test data generation is essential. The problem of generating test data is a search problem, and for solving the problem, search algorithms can be used. Genetic algorithm is one of the most widely used algorithms in this field. Adjusting genetic algorithm parameters helps ...  Read More

An Intelligent Model for Prediction of In-Vitro Fertilization Success using MLP Neural Network and GA Optimization

E. Feli; R. Hosseini; S. Yazdani

Volume 9, Issue 4 , November 2021, , Pages 515-523

https://doi.org/10.22044/jadm.2021.10718.2208

Abstract
  In Vitro Fertilization (IVF) is one of the scientifically known methods of infertility treatment. This study aimed at improving the performance of predicting the success of IVF using machine learning and its optimization through evolutionary algorithms. The Multilayer Perceptron Neural Network (MLP) ...  Read More

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

N. Alibabaie; A.M. Latif

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

https://doi.org/10.22044/jadm.2020.9358.2071

Abstract
  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

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

M. Danesh; S. Danesh

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

https://doi.org/10.22044/jadm.2020.8610.1996

Abstract
  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

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

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

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

https://doi.org/10.22044/jadm.2020.9025.2040

Abstract
  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

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

F. Nosratian; H. Nematzadeh; H. Motameni

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

https://doi.org/10.22044/jadm.2018.3746.1435

Abstract
  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
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 , April 2019, , Pages 279-286

https://doi.org/10.22044/jadm.2018.6435.1757

Abstract
  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

H.3.15.3. Evolutionary computing and genetic algorithms
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 , July 2018, , Pages 251-262

https://doi.org/10.22044/jadm.2017.4815.1575

Abstract
  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

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

Seyed M. Hosseinirad

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

https://doi.org/10.22044/jadm.2017.5372.1651

Abstract
  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

F.2.7. Optimization
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 , July 2018, , Pages 365-373

https://doi.org/10.22044/jadm.2017.4670.1553

Abstract
  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

G. Information Technology and Systems
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 , July 2018, , Pages 409-415

https://doi.org/10.22044/jadm.2017.989

Abstract
  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

I.3.5. Earth and atmospheric sciences
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 , July 2018, , Pages 439-445

https://doi.org/10.22044/jadm.2017.1086

Abstract
  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

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

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

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

https://doi.org/10.22044/jadm.2017.5540.1663

Abstract
  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
Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm

H. Kiani Rad; Z. Moravej

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

https://doi.org/10.22044/jadm.2016.734

Abstract
  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
Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network

M. Asghari; H. Nematzadeh

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

https://doi.org/10.5829/idosi.JAIDM.2016.04.01.06

Abstract
  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
FDMG: Fault detection method by using genetic algorithm in clustered wireless sensor networks

A. Ghaffari; S. Nobahary

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

https://doi.org/10.5829/idosi.JAIDM.2015.03.01.06

Abstract
  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

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 , July 2014, , Pages 113-123

https://doi.org/10.22044/jadm.2014.305

Abstract
  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

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 , March 2014, , Pages 73-78

https://doi.org/10.22044/jadm.2014.187

Abstract
  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

Wireless sensor network design through genetic algorithm

Seyed Mojtaba Hosseinirad; S.K. Basu

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

https://doi.org/10.22044/jadm.2014.189

Abstract
  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

QoS-Based web service composition based on genetic algorithm

Mohammad AllamehAmiri; Vali Derhami; Mohammad Ghasemzadeh

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

https://doi.org/10.22044/jadm.2013.97

Abstract
  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