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


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  2/2020 - 7

Firefly Algorithm Based Optimization Model for Planning of Optical Transport Networks

OLIVEIRA, B. Q. See more information about OLIVEIRA, B. Q. on SCOPUS See more information about OLIVEIRA, B. Q. on IEEExplore See more information about OLIVEIRA, B. Q. on Web of Science, SOUSA, M. A. See more information about  SOUSA, M. A. on SCOPUS See more information about  SOUSA, M. A. on SCOPUS See more information about SOUSA, M. A. on Web of Science, TELES VIEIRA, F. H. See more information about TELES VIEIRA, F. H. on SCOPUS See more information about TELES VIEIRA, F. H. on SCOPUS See more information about TELES VIEIRA, F. H. on Web of Science
 
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Download PDF pdficon (1,392 KB) | Citation | Downloads: 292 | Views: 823

Author keywords
artificial intelligence, communication networks, genetic algorithms, optical fiber networks, optimization

References keywords
networks(21), optical(20), communications(9), algorithm(9), design(7), routing(6), optimization(6), networking(6), network(6), inspired(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 55 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02007
Web of Science Accession Number: 000537943500007
SCOPUS ID: 85087444683

Abstract
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The growth in data traffic is raising serious challenges for OTN in terms of improving their capacity efficiency in order to meet the new traffic requirements. Under these circumstances, the task of efficiently utilizing available resources opens opportunities for the development of a variety of techniques for network planning. This paper presents a decision support system for the optical transport network. It is considered the optical transport network planning problem where a traffic interest matrix between the demand nodes is specified. The network is modeled as a graph, through the arc-path approach. An Integer Linear Programming problem solved with a Firefly Algorithm is proposed for network planning, considering cost minimization. The main novelties of the proposed ILP model is that it accomplishes the optical network design with the possibility of multiple destinations of the traffic matrix and with dynamic allocation of the transmission system modularity. To solve the ILP optimization model the firefly algorithm, genetic algorithm and the exact method are used. Simulations are carried out to verify the performance of the bio-inspired algorithms in relation to the exact method. The results obtained with the firefly algorithm surpass those of the genetic algorithm and approximate the optimal result.


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References Weight

Web of Science® Citations for all references: 1,077 TCR
SCOPUS® Citations for all references: 1,467 TCR

Web of Science® Average Citations per reference: 28 ACR
SCOPUS® Average Citations per reference: 38 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-10-12 12:27 in 196 seconds.




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