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Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

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Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks

by Amira A. A. Elmagid, Rabie A. Ramadan, Shahinaz M. Al-tabbakh, S. M. El-ghanam, Mahmoud E. Marie, S. A. Kamh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 5
Year of Publication: 2014
Authors: Amira A. A. Elmagid, Rabie A. Ramadan, Shahinaz M. Al-tabbakh, S. M. El-ghanam, Mahmoud E. Marie, S. A. Kamh
10.5120/17525-8092

Amira A. A. Elmagid, Rabie A. Ramadan, Shahinaz M. Al-tabbakh, S. M. El-ghanam, Mahmoud E. Marie, S. A. Kamh . Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks. International Journal of Computer Applications. 100, 5 ( August 2014), 37-45. DOI=10.5120/17525-8092

@article{ 10.5120/17525-8092,
author = { Amira A. A. Elmagid, Rabie A. Ramadan, Shahinaz M. Al-tabbakh, S. M. El-ghanam, Mahmoud E. Marie, S. A. Kamh },
title = { Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 5 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 37-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number5/17525-8092/ },
doi = { 10.5120/17525-8092 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:29:13.311900+05:30
%A Amira A. A. Elmagid
%A Rabie A. Ramadan
%A Shahinaz M. Al-tabbakh
%A S. M. El-ghanam
%A Mahmoud E. Marie
%A S. A. Kamh
%T Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 5
%P 37-45
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The recent increasing threat of radiological weapons technologies has highlighted the need for superior detection of hazardous emission sources. One promising area of technological development is radiation source detection using tracing mobile robot. In this paper, a novel algorithm based on GA is proposed for localization problem of such dangerous source using single robot. In which, if the estimated source location is gathered, the algorithm process is being terminated. The adaptive GA based on fuzzy logic is also introduced for comparison. Simulation results indicate that the proposed adaptive genetic algorithm have a better performance and faster than GA. In addition, the paper presents an investigation of radiation source localization by addressing the explanation of two novel algorithms that are assumed when considering group of autonomous mobile robots system.

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