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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
Next issue: Feb 2025
Avg review time: 56 days
Avg accept to publ: 60 days
APC: 300 EUR


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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A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  2/2015 - 10

 HIGHLY CITED PAPER 

Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method

DEMIR, M. See more information about DEMIR, M. on SCOPUS See more information about DEMIR, M. on IEEExplore See more information about DEMIR, M. on Web of Science, KARCI, A. See more information about KARCI, A. on SCOPUS See more information about KARCI, A. on SCOPUS See more information about KARCI, A. on Web of Science
 
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Download PDF pdficon (926 KB) | Citation | Downloads: 1,101 | Views: 4,596

Author keywords
artificial intelligence, heuristic algorithms, clustering algorithms

References keywords
algorithm(30), optimization(24), applications(12), karci(11), search(7), sciences(7), intelligence(7), inspired(6), global(6), evolutionary(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 75 - 84
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02010
Web of Science Accession Number: 000356808900010
SCOPUS ID: 84979827793

Abstract
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Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case. The heuristic methods do not guarantee to obtain the optimal results; however, they guarantee to obtain near-optimal solutions in considerable time. In this paper, an application was performed by using firefly algorithm - one of the heuristic methods. The golden ratio was applied to different steps of firefly algorithm and different parameters of firefly algorithm to develop a new algorithm - called Firefly Algorithm with Golden Ratio (FAGR). It was shown that the golden ratio made firefly algorithm be superior to the firefly algorithm without golden ratio. At this aim, the developed algorithm was applied to WBCD database (breast cancer database) to cluster data obtained from breast cancer patients. The highest obtained success rate among all executions is 96% and the highest obtained average success rate in all executions is 94.5%.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] A modified firefly algorithm for global minimum optimization, Yelghi, Aref, Köse, Cemal, Applied Soft Computing, ISSN 1568-4946, Issue , 2018.
Digital Object Identifier: 10.1016/j.asoc.2017.10.032
[CrossRef]

[2] Kablosuz Algılayıcı Ağlarda Olasılıksal Kapsama Oranının Optimizasyonu için Yeni Bir Meta-Sezgisel Yaklaşım, ÖZDAĞ, Recep, Bilişim Teknolojileri Dergisi, ISSN 1307-9697, 2017.
Digital Object Identifier: 10.17671/gazibtd.318158
[CrossRef]

[3] Memetic Particle Gravitation Optimization Algorithm for Solving Clustering Problems, Huang, Ko-Wei, Wu, Ze-Xue, Peng, Hsing-Wei, Tsai, Ming-Chia, Hung, Yu-Chieh, Lu, Yu-Chin, IEEE Access, ISSN 2169-3536, Issue , 2019.
Digital Object Identifier: 10.1109/ACCESS.2019.2923979
[CrossRef]

[4] A novel hybrid knowledge of firefly and pso swarm intelligence algorithms for efficient data clustering, Danesh, Malihe, Shirgahi, Hossein, Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, Issue 6, Volume 33, 2017.
Digital Object Identifier: 10.3233/JIFS-17170
[CrossRef]

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


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