1. On improving APIT algorithm for better localization in WSN

Seyed M. Hosseinirad; M. Niazi; J Pourdeilami; S. K. Basu; A. A. Pouyan

Volume 2, Issue 2 , Summer 2014, Pages 97-104

Abstract
  In Wireless Sensor Networks (WSNs), localization algorithms could be range-based or range-free. The Approximate Point in Triangle (APIT) is a range-free approach. We propose modification of the APIT algorithm and refer as modified-APIT. We select suitable triangles with appropriate distance between anchors ...  Read More

2. Efficiency of a multi-objective imperialist competitive algorithm: A bi-objective location-routing-inventory problem with probabilistic routes

N. Nekooghadirli; R. Tavakkoli-Moghaddam; V.R. Ghezavati

Volume 2, Issue 2 , Summer 2014, Pages 105-112

Abstract
  An integrated model considers all parameters and elements of different deficiencies in one problem. This paper presents a new integrated model of a supply chain that simultaneously considers facility location, vehicle routing and inventory control problems as well as their interactions in one problem, ...  Read More

3. 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

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

4. Designing an adaptive fuzzy control for robot manipulators using PSO

F. Solaimannouri; M. Haddad zarif; M. M. Fateh

Volume 2, Issue 2 , Summer 2014, Pages 125-133

Abstract
  This paper presents designing an optimal adaptive controller for tracking control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been employed to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance ...  Read More

5. Employing data mining to explore association rules in drug addicts

Farzaneh Zahedi; Mohammad-Reza Zare-Mirakabad

Volume 2, Issue 2 , Summer 2014, Pages 135-139

Abstract
  Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are not investigated. Nowadays, there are some treatment ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
6. A novel hybrid method for vocal fold pathology diagnosis based on russian language

V. Majidnezhad

Volume 2, Issue 2 , Summer 2014, Pages 141-147

Abstract
  In this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. Then, for optimizing the initial feature vector, a genetic algorithm is proposed. Some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of ...  Read More

7. High impedance fault detection: Discrete wavelet transform and fuzzy function approximation

M. Banejad; H. Ijadi

Volume 2, Issue 2 , Summer 2014, Pages 149-158

Abstract
  This paper presets a method including a combination of the wavelet transform and fuzzy function approximation (FFA) for high impedance fault (HIF) detection in distribution electricity network. Discrete wavelet transform (DWT) has been used in this paper as a tool for signal analysis. With studying different ...  Read More

8. Adaptive RBF network control for robot manipulators

M. M. Fateh; Seyed M. Ahmadi; S. Khorashadizadeh

Volume 2, Issue 2 , Summer 2014, Pages 159-166

Abstract
  TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs ...  Read More

H.5. Image Processing and Computer Vision
9. Modified CLPSO-based fuzzy classification System: Color Image Segmentation

A.M. Shafiee; A. M. Latif

Volume 2, Issue 2 , Summer 2014, Pages 167-179

Abstract
  Fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. In this paper, a modified method based on the Comprehensive Learning Particle Swarm Optimization (CLPSO) is proposed for pixel classification in HSI color space by selecting ...  Read More