Scipediacontent: Scipediacontent moved page Draft Content 879884018 to Masood Fouad 2018a

2021-02-02T02:12:31Z

Scipediacontent moved page Draft Content 879884018 to Masood Fouad 2018a

Scipediacontent: Created page with " == Abstract == Multiprotocol label switched (MPLS) networks were introduced to enhance the network’s service provisioning and optimize its performance using multiple proto..."

2021-02-02T02:12:27Z

Created page with " == Abstract == Multiprotocol label switched (MPLS) networks were introduced to enhance the network’s service provisioning and optimize its performance using multiple proto..."

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== Abstract ==

Multiprotocol label switched (MPLS) networks were introduced to enhance the network’s service provisioning and optimize its performance using multiple protocols along with label switched based networking technique. With the addition of traffic engineering entity in MPLS domain, there is a massive increase in the networks resource management capability with better quality of services (QoS) provisioning for end users. Routing protocols play an important role in MPLS networks for network traffic management, which uses exact and approximate algorithms. There are number of artificial intelligence-based optimization algorithms which can be used for the optimization of traffic engineering in MPLS networks. The paper presents an optimization model for MPLS networks and proposed dolphin-echolocation algorithm (DEA) for optimal path computation. For Network with different nodes, both algorithms performance has been investigated to study their convergence towards the production of optimal solutions. Furthermore, the DEA algorithm will be compared with the bat algorithm to examine their performance in MPLS network optimization. Various parameters such as mean, minimum /optimal fitness function values and standard deviation.

== Original document ==

The different versions of the original document can be found in:

* [https://strathprints.strath.ac.uk/64776/1/Masood_etal_ICTON_2018_Analysis_of_artificial_intelligence_based_metaheuristic_algorithm_for_MPLS_network_optimization.pdf https://strathprints.strath.ac.uk/64776/1/Masood_etal_ICTON_2018_Analysis_of_artificial_intelligence_based_metaheuristic_algorithm_for_MPLS_network_optimization.pdf]

* [http://xplorestaging.ieee.org/ielx7/8439107/8473576/08473751.pdf?arnumber=8473751 http://xplorestaging.ieee.org/ielx7/8439107/8473576/08473751.pdf?arnumber=8473751],
: [http://dx.doi.org/10.1109/icton.2018.8473751 http://dx.doi.org/10.1109/icton.2018.8473751]

* [https://strathprints.strath.ac.uk/64776 https://strathprints.strath.ac.uk/64776],
: [https://pureportal.strath.ac.uk/en/publications/analysis-of-artificial-intelligence-based-metaheuristic-algorithm https://pureportal.strath.ac.uk/en/publications/analysis-of-artificial-intelligence-based-metaheuristic-algorithm],
: [https://academic.microsoft.com/#/detail/2883500952 https://academic.microsoft.com/#/detail/2883500952]

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Masood Fouad 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 879884018 to Masood Fouad 2018a

Scipediacontent: Created page with " == Abstract == Multiprotocol label switched (MPLS) networks were introduced to enhance the network’s service provisioning and optimize its performance using multiple proto..."