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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 78 days
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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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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.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  1/2019 - 3

 HIGHLY CITED PAPER 

Combinatorial versus Priority Based Optimization in Resource Constrained Project Scheduling Problems by Nature Inspired Metaheuristics

BEJINARIU, S.-I. See more information about BEJINARIU, S.-I. on SCOPUS See more information about BEJINARIU, S.-I. on IEEExplore See more information about BEJINARIU, S.-I. on Web of Science, COSTIN, H. See more information about  COSTIN, H. on SCOPUS See more information about  COSTIN, H. on SCOPUS See more information about COSTIN, H. on Web of Science, COSTIN, D. See more information about COSTIN, D. on SCOPUS See more information about COSTIN, D. on SCOPUS See more information about COSTIN, D. on Web of Science
 
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Download PDF pdficon (1,467 KB) | Citation | Downloads: 951 | Views: 2,229

Author keywords
biological information theory, evolutionary computation, optimization, particle swarm optimization, scheduling algorithms

References keywords
optimization(18), algorithm(11), swarm(8), scheduling(7), flower(7), costin(7), yang(6), science(6), problem(6), pollination(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-02-28
Volume 19, Issue 1, Year 2019, On page(s): 17 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.01003
Web of Science Accession Number: 000459986900003
SCOPUS ID: 85064227660

Abstract
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This paper explores the behavior of the Flower Pollination Algorithm (FPA) and Particle Swarm Optimization (PSO) metaheuristic algorithm in resolving Resource Constrained Project Scheduling Problems (RCPSP) that can model certain practical issues in distributed applications. A RCPSP type problem has at the input a set of activities between which there are precedence relationships and for whose execution it is necessary to allocate resources that are limited. The solution determines the order of execution of the activities with respect to the precedence relations between them and the allocation of the available resources so that the total duration is minimal. The experimental results showed that a near optimal solution can be obtained faster than with other traditional algorithms, mainly for optimization problems in the continuous space. Two versions of FPA and PSO were used, namely combinatorial and priority based optimization. Because during evolution the individuals position changes do not guarantee the precedence order preservation, a new tasks reordering procedure is proposed in this paper.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 7
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Cited-By CrossRef

[1] Grasshopper optimization algorithm tuned maximum power point tracking for solar photovoltaic systems, Subramanian, Annapoorani, Raman, Jayaparvathy, Journal of Ambient Intelligence and Humanized Computing, ISSN 1868-5137, Issue 9, Volume 12, 2021.
Digital Object Identifier: 10.1007/s12652-020-02593-9
[CrossRef]

[2] An Artificial Immune System Approach for a Multi-compartment Queuing Model for Improving Medical Resources and Inpatient Bed Occupancy in Pandemics, BELCIUG, S., BEJINARIU, S.-I., COSTIN, H., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.03003
[CrossRef] [Full text]

[3] Search space decomposition for resource-constrained project scheduling, Liu, Zhenyuan, Hua, Zhengming, Yang, Liu, Deng, Raoyi, Automation in Construction, ISSN 0926-5805, Issue , 2022.
Digital Object Identifier: 10.1016/j.autcon.2021.104040
[CrossRef]

[4] Designing a Virtual Instrument for Low Speed Tunnel Data Acquisition, Pahonie, Radu-Calin, Mihai, Razvan-Viorel, Larco, Ciprian-Marius, 2019 E-Health and Bioengineering Conference (EHB), ISBN 978-1-7281-2603-6, 2019.
Digital Object Identifier: 10.1109/EHB47216.2019.8969961
[CrossRef]

[5] Health Technology Management for Improving the Life Cycle of Medical Equipment, Corciova, Calin, Andritoi, Doru, Fuior, Robert, Luca, Catalina, 2019 E-Health and Bioengineering Conference (EHB), ISBN 978-1-7281-2603-6, 2019.
Digital Object Identifier: 10.1109/EHB47216.2019.8969908
[CrossRef]

[6] Numerical and Experimental Analysis of a Composite Root End Assembly Configuration, Larco, Ciprian-Marius, 2019 E-Health and Bioengineering Conference (EHB), ISBN 978-1-7281-2603-6, 2019.
Digital Object Identifier: 10.1109/EHB47216.2019.8970002
[CrossRef]

[7] Design and Implementation of a Body Posture Detection System, Adochiei, Felix - Constantin, Adochiei, Ioana Raluca, Ciucu, Radu, Pietroiu-Andruseac, Gladiola, Argatu, Florin Ciprian, Jula, Nicolae, 2019 E-Health and Bioengineering Conference (EHB), ISBN 978-1-7281-2603-6, 2019.
Digital Object Identifier: 10.1109/EHB47216.2019.8969997
[CrossRef]

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