An elitist nondominated sorting genetic algorithm for QoS multicast routing in wireless networks

Din, Zaheer ud; Lobiyal, D. K.; Prasad, Sunita

doi:10.1016/j.swevo.2016.10.004

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Recent Work and Many-objective-based Routing1

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Cited by 12 publications

(1 citation statement)

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“…Up to this moment, research on multicast routing based on bio-inspired techniques is still active. In the context of wireless networks, NSGA-II has been applied to solve Pareto-based MRP [46], where individuals are codified as a set of paths obtained heuristically. The SPEA method has been applied to wireless networks as well [47].…”

Section: Recent Work and Many-objective-based Routingmentioning

confidence: 99%

MEANDS: A Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets applied to multicast routing

Lafetá

Bueno

Brasil

et al. 2018

Applied Soft Computing

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Section: Recent Work and Many-objective-based Routingmentioning

confidence: 99%

MEANDS: A Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets applied to multicast routing

Lafetá

Bueno

Brasil

et al. 2018

Applied Soft Computing

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Differential evolution CapsNet model for QoS routing enhancement in wireless networks

Kumar¹,

Selvaraj²

2019

Int J Communication

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One of the nondeterministic polynomial (NP) hard problem in the area of wireless networks is the quality of service (QoS) routing problem. This has always been a key area wherein research is required to enhance the QoS metrics considered with respect to the considered network model. In this paper, mobile ad hoc network (MANET) model is identified for which an effective QoS routing protocol which meets the set QoS constraints is designed employing the novel variant of differential evolution (DE) model. The ultimate aim of the proposed work is to identify an optimal feasible path for the MANET model with the set objective function criterion being met. A variant of DE capsule net model is built by hybridizing it with the nature-inspired firefly (FF) algorithmic approach. The effectiveness of the proposed technique is achieved by minimizing the set objective function on satisfying the QoS constraints in the MANETs.The developed technique chose better QoS path with respect to the best fitness value than that of the route replay the shortest path algorithm of ad hoc ondemand distance vector (AODV) protocol. The modeled variant DE-FF model achieves better QoS metrics with all the set constrained being met. Simulated results depict the superiority and better performance of the developed DE-FF model than that of the other methods considered for comparison from the existing literature works.

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A Reference-Based Multiobjective Bacteria Foraging Optimization Technique for QoS Multicast Routing

2018

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An elitist nondominated sorting genetic algorithm for QoS multicast routing in wireless networks

Cited by 12 publications

References 28 publications

MEANDS: A Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets applied to multicast routing

MEANDS: A Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets applied to multicast routing

Differential evolution CapsNet model for QoS routing enhancement in wireless networks

A Reference-Based Multiobjective Bacteria Foraging Optimization Technique for QoS Multicast Routing

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