Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks

Mohsin Masood; Mohamed Mostafa Fouad; Ivan Glesk

doi:10.1007/978-3-319-74690-6_4

Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks

Mohsin Masood, Mohamed Mostafa Fouad, Ivan Glesk

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

55 Downloads (Pure)

Abstract

Modern communication networks offer advance and diverse applications, which require huge usage of network resources while providing quality of services to the users. Advance communication is based on multiple switched networks that cannot be handle by traditional IP (internet protocol) networks. GMPLS (Generalized multiprotocol label switched) networks, an advance version of MPLS (multiprotocol label switched networks), are introduced for multiple switched networks. Traffic engineering in GMPLS networks ensures traffic movement on multiple paths. Optimal path(s) computation can be dependent on multiple objectives with multiple constraints. From optimization prospective, it is an NP (non-deterministic polynomial-time) hard optimization problem, to compute optimal paths based on multiple objectives having multiple constraints. The paper proposed a metaheuristic Pareto based Bat algorithm, which uses two objective functions; routing costs and load balancing costs to compute the optimal path(s) as an optimal solution for traffic engineering in MPLS/GMPLS networks. The proposed algorithm has implemented on different number of nodes in MPLS/GMPLS networks, to analysis the algorithm performance.

Original language	English
Title of host publication	The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
Editors	Aboul Ella Hassanien, Mohamed F. Tolba, Mohamed Elhoseny, Mohamed Mostafa
Place of Publication	Cham
Publisher	Springer
Pages	33-41
Number of pages	9
ISBN (Print)	9783319746890, 9783319746906
DOIs	https://doi.org/10.1007/978-3-319-74690-6_4
Publication status	E-pub ahead of print - 26 Jan 2018
Event	The International Conference on Machine Learning Technologies and Applications - Cairo, Egypt Duration: 22 Feb 2018 → 24 Feb 2018 http://egyptscience.net/AMLTA18/

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	723
ISSN (Print)	2194-5357

Conference

Conference	The International Conference on Machine Learning Technologies and Applications
Abbreviated title	AMLTA2018
Country/Territory	Egypt
City	Cairo
Period	22/02/18 → 24/02/18
Internet address	http://egyptscience.net/AMLTA18/

Keywords

bat algorithm
GMPLS networks
networks optimization
particle swarm optimization
routing protocols
traffic engineering

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10.1007/978-3-319-74690-6_4

Masood-etal-AMLTA-2018-Pareto-based-bat-algorithm-for-multi-objectives-multiple-constraints-optimizationAccepted author manuscript, 775 KB

Cite this

Masood, M., Fouad, M. M., & Glesk, I. (2018). Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks. In A. E. Hassanien, M. F. Tolba, M. Elhoseny, & M. Mostafa (Eds.), The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) (pp. 33-41). (Advances in Intelligent Systems and Computing; Vol. 723). Springer. Advance online publication. https://doi.org/10.1007/978-3-319-74690-6_4

Masood, Mohsin ; Fouad, Mohamed Mostafa ; Glesk, Ivan. / Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks. The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). editor / Aboul Ella Hassanien ; Mohamed F. Tolba ; Mohamed Elhoseny ; Mohamed Mostafa. Cham : Springer, 2018. pp. 33-41 (Advances in Intelligent Systems and Computing).

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abstract = "Modern communication networks offer advance and diverse applications, which require huge usage of network resources while providing quality of services to the users. Advance communication is based on multiple switched networks that cannot be handle by traditional IP (internet protocol) networks. GMPLS (Generalized multiprotocol label switched) networks, an advance version of MPLS (multiprotocol label switched networks), are introduced for multiple switched networks. Traffic engineering in GMPLS networks ensures traffic movement on multiple paths. Optimal path(s) computation can be dependent on multiple objectives with multiple constraints. From optimization prospective, it is an NP (non-deterministic polynomial-time) hard optimization problem, to compute optimal paths based on multiple objectives having multiple constraints. The paper proposed a metaheuristic Pareto based Bat algorithm, which uses two objective functions; routing costs and load balancing costs to compute the optimal path(s) as an optimal solution for traffic engineering in MPLS/GMPLS networks. The proposed algorithm has implemented on different number of nodes in MPLS/GMPLS networks, to analysis the algorithm performance.",

keywords = "bat algorithm, GMPLS networks, networks optimization, particle swarm optimization , routing protocols, traffic engineering ",

author = "Mohsin Masood and Fouad, {Mohamed Mostafa} and Ivan Glesk",

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month = jan,

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booktitle = "The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)",

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Masood, M, Fouad, MM & Glesk, I 2018, Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks. in AE Hassanien, MF Tolba, M Elhoseny & M Mostafa (eds), The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). Advances in Intelligent Systems and Computing, vol. 723, Springer, Cham, pp. 33-41, The International Conference on Machine Learning Technologies and Applications, Cairo, Egypt, 22/02/18. https://doi.org/10.1007/978-3-319-74690-6_4

Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks. / Masood, Mohsin; Fouad, Mohamed Mostafa; Glesk, Ivan.
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). ed. / Aboul Ella Hassanien; Mohamed F. Tolba; Mohamed Elhoseny; Mohamed Mostafa. Cham: Springer, 2018. p. 33-41 (Advances in Intelligent Systems and Computing; Vol. 723).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks

AU - Masood, Mohsin

AU - Fouad, Mohamed Mostafa

AU - Glesk, Ivan

PY - 2018/1/26

Y1 - 2018/1/26

N2 - Modern communication networks offer advance and diverse applications, which require huge usage of network resources while providing quality of services to the users. Advance communication is based on multiple switched networks that cannot be handle by traditional IP (internet protocol) networks. GMPLS (Generalized multiprotocol label switched) networks, an advance version of MPLS (multiprotocol label switched networks), are introduced for multiple switched networks. Traffic engineering in GMPLS networks ensures traffic movement on multiple paths. Optimal path(s) computation can be dependent on multiple objectives with multiple constraints. From optimization prospective, it is an NP (non-deterministic polynomial-time) hard optimization problem, to compute optimal paths based on multiple objectives having multiple constraints. The paper proposed a metaheuristic Pareto based Bat algorithm, which uses two objective functions; routing costs and load balancing costs to compute the optimal path(s) as an optimal solution for traffic engineering in MPLS/GMPLS networks. The proposed algorithm has implemented on different number of nodes in MPLS/GMPLS networks, to analysis the algorithm performance.

AB - Modern communication networks offer advance and diverse applications, which require huge usage of network resources while providing quality of services to the users. Advance communication is based on multiple switched networks that cannot be handle by traditional IP (internet protocol) networks. GMPLS (Generalized multiprotocol label switched) networks, an advance version of MPLS (multiprotocol label switched networks), are introduced for multiple switched networks. Traffic engineering in GMPLS networks ensures traffic movement on multiple paths. Optimal path(s) computation can be dependent on multiple objectives with multiple constraints. From optimization prospective, it is an NP (non-deterministic polynomial-time) hard optimization problem, to compute optimal paths based on multiple objectives having multiple constraints. The paper proposed a metaheuristic Pareto based Bat algorithm, which uses two objective functions; routing costs and load balancing costs to compute the optimal path(s) as an optimal solution for traffic engineering in MPLS/GMPLS networks. The proposed algorithm has implemented on different number of nodes in MPLS/GMPLS networks, to analysis the algorithm performance.

KW - bat algorithm

KW - GMPLS networks

KW - networks optimization

KW - particle swarm optimization

KW - routing protocols

KW - traffic engineering

UR - https://www.springer.com/in/book/9783319746890

UR - http://egyptscience.net/AMLTA18/

U2 - 10.1007/978-3-319-74690-6_4

DO - 10.1007/978-3-319-74690-6_4

M3 - Conference contribution book

SN - 9783319746890

SN - 9783319746906

T3 - Advances in Intelligent Systems and Computing

SP - 33

EP - 41

BT - The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

A2 - Hassanien, Aboul Ella

A2 - Tolba, Mohamed F.

A2 - Elhoseny, Mohamed

A2 - Mostafa, Mohamed

PB - Springer

CY - Cham

T2 - The International Conference on Machine Learning Technologies and Applications

Y2 - 22 February 2018 through 24 February 2018

ER -

Masood M, Fouad MM, Glesk I. Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks. In Hassanien AE, Tolba MF, Elhoseny M, Mostafa M, editors, The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). Cham: Springer. 2018. p. 33-41. (Advances in Intelligent Systems and Computing). Epub 2018 Jan 26. doi: 10.1007/978-3-319-74690-6_4

Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks

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Keywords

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