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IAES International Journal of Artificial Intelligence (IJ-AI)
Published by Institute of Advanced Engineering and Science
ISSN : 20894872     EISSN : 22528938     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like genetic algorithm, ant colony optimization, etc); reasoning and evolution; intelligence applications; computer vision and speech understanding; multimedia and cognitive informatics, data mining and machine learning tools, heuristic and AI planning strategies and tools, computational theories of learning; technology and computing (like particle swarm optimization); intelligent system architectures; knowledge representation; bioinformatics; natural language processing; multiagent systems; etc.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 2, No 4: December 2013" : 6 Documents clear
Towards Coalition in a Multi-Agent Based Simulation for The Bomber Problem Boutheina Jlifi; Zina Elguedria; Khaled Ghedira
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (904.722 KB)

Abstract

The Bomber Problem BP can be considered as a discrete time model in which a bomber must survive for t epochs before reaching the target where it will drop its bombs. The Bomber problem is unsolved despite his appearance date since the 1960s. It is classified in the heading of research problems unsolved by Richard Weber. In fact, it can be classified as an NP-hard combinatorial optimization problem. Multi-agent simulation is for a long time privileged for modeling and experimentation of complex systems. This term includes concepts as diverse as strategic decision support or staff training. In this paper, we explore the challenge of simulating a system as complex as the Bomber problem with a MAS approach. Particularly, we demonstrate that Coalition forming in a MAS, models and simulates the collective resolution of the Bomber Problem within a dynamic agent organization in an efficient way. We illustrate our discussion with developed simulation results. DOI: http://dx.doi.org/10.11591/ij-ai.v2i4.2434
An Expert System with Neural Network and Decision Tree for Predicting Audit Opinions Seyed Mojtaba Saif; Mehdi Sarikhani; Fahime Ebrahimi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.222 KB)

Abstract

Nowadays expert system, being used in various fields has received a great deal of attention. Auditing is one such field, along with determining the audit opinion type. An expert system consists of a knowledge database and an inference engine. The objective of this research is to make an expert system that will be of help to auditors in predicting and determining the different types of audit reports. The expert system receives data or knowledge from financial reports and determines the types of audit opinions by using an artificial neural network and a decision tree as an inference engine. An expert system should able to explain the solution, but presenting the reason for the results obtained with a neural network is difficult.  This study attempts to provide a method that will present simple and understandable reasons for the results obtained with neural networks.DOI: http://dx.doi.org/10.11591/ij-ai.v2i4.3950
Design Controller for a Class of Nonlinear Pendulum Dynamical System Mohamad Reza Rahimi Khoygani; Reza Ghasemi; Davoud Sanaei
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Designing proportional integral derivative (PID), Linear Quadratic Regulator (LQR), Fuzzy Logic Controller (FLC) and Self-Tuning Fuzzy PID (STFP) controller is used for nonlinear pendulum dynamic system in this paper.The promising performance of the proposed controllers investigates in simulation. The effectiveness, robustness against noise and the comparison of the controller methods for Nonlinear Pendulum Dynamical System are delivered in this paper.DOI: http://dx.doi.org/10.11591/ij-ai.v2i4.4164
Genetic Algorithm optimized Neural Network based Adaptive ECG Interference Canceller for Premature Infants in Incubators Mahil J; T. Sree Renga Raja
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (187.667 KB)

Abstract

This paper proposed a hybrid neural network Back propagation (BP) algorithm optimized by Genetic Algorithm (GA) for the diminution of the fundamental electromagnetic interferences in Incubators. Gradient based techniques have been proposed in the past for the elimination of incubator noise but they are susceptible to local minima problem. Genetic algorithms are a class of optimization procedure which is good at examining an intelligent way for selecting the number of hidden layer neurons, learning rate and momentum constant of the Artificial Neural Network (ANN) to find values close to the global minimum. The result analysis shows that the proposed approach shows good performance in cancelling the ECG interference over other conventional approaches.DOI: http://dx.doi.org/10.11591/ij-ai.v2i4.2293
Using Black Holes Algorithm in Discrete Space by Nearest Integer Function Mostafa Nemati; Navid Bazrkar; Reza Salimi; Behdad Moshref
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper we Using Black Holes Algorithm in Discrete Space by Nearest Integer Function. Black holes algorithm is a Swarm Algorithm inspired of Black Holes for Optimization Problems. We suppose each solution of problem as an integer black hole and after calculating the gravity and electrical forces use Nearest Integer Function. The experimental results on different benchmarks show that the performance of the proposed algorithm is better than    PSO (Binary Particle Swarms Optimization), and GA (Genetic Algorithm).DOI: http://dx.doi.org/10.11591/ij-ai.v2i4.4319
Memetic Algorithm for the Minimum Edge Dominating Set Problem Abdel-Rahman Hedar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The minimum edge dominating set (MEDS) is one of the fundamental covering problems ingraph theory, which finds many practical applications in diverse domains. In this paper, wepropose a meta-heuristic approach based on genetic algorithm and local search to solve theMEDS problem. Therefore, the proposed method is considered as a memetic search algorithmwhich is called Memetic Algorithm for minimum edge dominating set (MAMEDS). Inthe MAMEDS method, a new fitness function is invoked to effectively measure the solutionqualities. The search process in the proposed method uses intensification schemes besidethe main genetic search operations in order to achieve faster performance. The experimentalresults proves that the proposed method is promising in solving the MEDS problem.DOI: http://dx.doi.org/10.11591/ij-ai.v2i4.3481

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