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JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
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Avg review time: 55 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

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  1/2010 - 14

 HIGHLY CITED PAPER 

Designing of Rescue Multi Agent System Based on Soft Computing Techniques

SHAMSHIRBAND, S. S. See more information about SHAMSHIRBAND, S. S. on SCOPUS See more information about SHAMSHIRBAND, S. S. on IEEExplore See more information about SHAMSHIRBAND, S. S. on Web of Science, SHIRGAHI, H. See more information about  SHIRGAHI, H. on SCOPUS See more information about  SHIRGAHI, H. on SCOPUS See more information about SHIRGAHI, H. on Web of Science, SETAYESHI, S. See more information about SETAYESHI, S. on SCOPUS See more information about SETAYESHI, S. on SCOPUS See more information about SETAYESHI, S. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (625 KB) | Citation | Downloads: 1,103 | Views: 5,832

Author keywords
multi agent system, reinforcement learning, cooperative, rescue agents

References keywords
learning(7), agent(6), multi(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 79 - 83
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01014
Web of Science Accession Number: 000275458900014
SCOPUS ID: 77954686893

Abstract
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The goal of rescuer Multi agent's project is to simulate urban unpleasant incidents and events to reduce the rate of detriment of this event. The various rescuer forces attempt to do their best duties. One of the most important problems in multi agent system is communication among agents. Most of the various algorithms in multi agent system so far has share of duties, negotiation, learning and searching need to various forms of communication among agents. In the paper we attempt to rescue the most wounded using Reinforcement learning to be able to gain the shortest time.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 5
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Cited-By CrossRef

[1] STFTP: Secure TFTP Protocol for Embedded Multi-Agent Systems Communication, HORVAT, G., ZAGAR, D., MARTINOVIC, G., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02004
[CrossRef] [Full text]

[2] RETRACTED ARTICLE: Adapting project management method and ANFIS strategy for variables selection and analyzing wind turbine wake effect, Petković, Dalibor, Ab Hamid, Siti Hafizah, Ćojbašić, Žarko, Pavlović, Nenad T., Natural Hazards, ISSN 0921-030X, Issue 2, Volume 74, 2014.
Digital Object Identifier: 10.1007/s11069-014-1189-1
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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