A Pareto-based hybrid multiobjective evolutionary approach for constrained multipath traffic engineering optimization in MPLS/GMPLS networks

El-Alfy, El-Sayed M.; Syed, Mujahid N.; Selim, Shokri Z.

doi:10.1016/j.jnca.2013.02.008

Cited by 21 publications

(21 citation statements)

References 25 publications

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“…These optimization techniques belong to various classes of optimization such as swarm, artificial intelligence or evolutionary based methodologies [11]. We proposed heuristic algorithm known as Pareto Particle Swarm Optimization with Elitist Learning Strategy (PPSO_ELS) for optimizing the multipath selection in MPLS/ GMPLS networks.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…However, due to computation complexity exact method takes long time to solve it. Therefore, heuristic based approaches become an appealing for solving this problem [10], [11]. In modern telecommunication networks, many network service providers offer MPLS/ GMPLS based routers that can be used for packets, fibre, time and wavelength switching technologies In this paper, an MPLS/ GMPLS core network is represented as graphs, where links are edges and routers are vertices.…”

Section: Related Workmentioning

confidence: 99%

“…During searching process, each particle stochastically adjusted by its local searching component (Plocal.best) and social searching component (Gsocial.best). The mathematical expression for each particle`s velocity and its position is updated is given as follow [11].…”

Section: A Particle Swarm Optimization Technique (Pso)mentioning

confidence: 99%

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A Pareto based approach with elitist learning strategy for MPLS/GMPS networks

Masood

Fouad

Glesk

2017

2017 9th Computer Science and Electronic Engineering (CEEC)

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Abstract-Modern telecommunication networks are based on diverse applications that highlighted the status of efficient use of network resources and performance optimization. Various methodologies are developed to address multi-objectives optimization within the traffic engineering of MPLS/ GMPLS networks. However, Pareto based approach can be used to achieve the optimization of multiple conflicting objective functions concurrently. We considered two objective functions such as routing and load balancing costs functions. In the paper, we introduce a heuristics algorithm for solving multi-objective multiple constrained optimization (MCOP) in MPLS/ GMPLS networks. The paper proposes the application of a Pareto based particle swarm optimization (PPSO) for such network's type and through a comparative analysis tests its efficiency against another modified version; Pareto based particle swarm optimization with elitist learning strategy (PPSO_ELS). The simulation results showed that the former proposed approach not only solved the MCOP problem but also provide effective solution for exploration problem attached with PPSO algorithm.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A Pareto based approach with elitist learning strategy for MPLS/GMPS networks

Masood

Fouad

Glesk

2017

2017 9th Computer Science and Electronic Engineering (CEEC)

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“…Each path is a summation of connected links within the GMPLS network domain. This can be explained by the given expression as [12]:…”

Section: B Routing Cost Fitness Function In Gmpls Networkmentioning

confidence: 99%

“…The objective function for the algorithm is to find the route/ path as an optimal solution that uses the 'minimal total routing costs'. The objective function of the total routing costs is represented as [12]:…”

Section: B Routing Cost Fitness Function In Gmpls Networkmentioning

confidence: 99%

Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks

Masood

Fouad

Glesk

2017

2017 25th Telecommunication Forum (TELFOR)

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-Introduction of modern and diverse applications in telecommunication field has raised challenges in networking area regarding efficient use of network resources and with optimizing performance. Therefore MPLS/GMPLS (Generalized multiprotocol label switching) networks were introduced to provide a better quality of service to meet users' requirements as well as to optimize network resources. GMPLS networks use traffic engineering techniques for more efficient communication within the network and help to optimize network resources. This paper proposes BAT inspired metaheuristic algorithm for selecting an efficient route in MPLS/ GMPLS networks. In our investigation we considered routing costs as an objective function with goal to minimize it. The paper uses BAT algorithm with various levels of loudness parameter. The simulation results show performance improvements in MPLS/GMPLS networks of different size.

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Connection-Oriented Networks

Walkowiak

2016

Modeling and Optimization of Cloud-Ready and Content-Oriented Networks

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A Pareto-based hybrid multiobjective evolutionary approach for constrained multipath traffic engineering optimization in MPLS/GMPLS networks

Cited by 21 publications

References 25 publications

A Pareto based approach with elitist learning strategy for MPLS/GMPS networks

A Pareto based approach with elitist learning strategy for MPLS/GMPS networks

Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks

Connection-Oriented Networks

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