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Virtual network function–forwarding graph embedding: A genetic algorithm approach
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/dac.3523openalex-snapshot
Joint service function chain deploying and path selection for bandwidth saving and VNF reuse
inferredcites →https://doi.org/10.1002/dac.3556openalex-snapshot
Joint server and network optimization toward load‐balanced service chaining
inferredcites →https://doi.org/10.1002/dac.3826openalex-snapshot
Network service chains deployment across multiple SDN domains
inferredcites →https://doi.org/10.1007/978-3-319-15892-1_3openalex-snapshot
U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results
inferredcites →https://doi.org/10.1016/j.endm.2016.03.028openalex-snapshot
On the computational complexity of the virtual network embedding problem
inferredcites →https://doi.org/10.1016/j.jnca.2016.01.011openalex-snapshot
An overview of virtual machine placement schemes in cloud computing
inferredcites →https://doi.org/10.1016/j.ress.2005.11.018openalex-snapshot
Multi-objective optimization using genetic algorithms: A tutorial
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/49.536364openalex-snapshot
Quality-of-service routing for supporting multimedia applications
inferredcites →https://doi.org/10.1109/ccnc.2018.8319250openalex-snapshot
A multi-objective non-dominated sorting genetic algorithm for VNF chains placement
inferredcites →https://doi.org/10.1109/cec.2002.1007032openalex-snapshot
Scalable multi-objective optimization test problems
inferredcites →https://doi.org/10.1109/cec.2016.7743895openalex-snapshot
EliteNSGA-III: An improved evolutionary many-objective optimization algorithm
inferredcites →https://doi.org/10.1109/cec.2016.7744174openalex-snapshot
Performance comparison of NSGA-II and NSGA-III on various many-objective test problems
inferredcites →https://doi.org/10.1109/icc.2017.7996515openalex-snapshot
VNF placement with replication for Loac balancing in NFV networks
inferredcites →https://doi.org/10.1109/icc.2018.8422757openalex-snapshot
QAAV: Quality of Service-Aware Adaptive Allocation of Virtual Network Functions in Wireless Network
inferredcites →https://doi.org/10.1109/tevc.2013.2281535openalex-snapshot
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
inferredcites →https://doi.org/10.1109/tevc.2015.2433266openalex-snapshot
Many-Objective Evolutionary Algorithm: Objective Space Reduction and Diversity Improvement
inferredcites →https://doi.org/10.1109/tnet.2004.836112openalex-snapshot
Concepts of Exact QoS Routing Algorithms
inferredcites →https://doi.org/10.1109/tnsm.2016.2598068openalex-snapshot
A Scalable Algorithm for the Placement of Service Function Chains
inferredcites →https://doi.org/10.1109/tvt.2016.2552041openalex-snapshot
Video Streaming Over Ad Hoc Networks: A QoE-Based Optimal Routing Solution
inferredcites →https://doi.org/10.1109/wowmom.2018.8449752openalex-snapshot
A2VF: Adaptive Allocation for Virtual Network Functions in Wireless Access Networks
inferredcites →https://doi.org/10.1137/s1052623496307510openalex-snapshot
Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
inferredcites →https://doi.org/10.1145/2739482.2768462openalex-snapshot
Redesigning the jMetal Multi-Objective Optimization Framework
inferredcites →https://doi.org/10.11499/sicejl1962.32.10openalex-snapshot
Toward a Better Understanding of Mixing in Genetic Algorithms
inferredcites →https://doi.org/10.1162/106365600568202openalex-snapshot
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
inferredcites →https://doi.org/10.1162/evco.1994.2.3.221openalex-snapshot
Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
inferredcites →https://doi.org/10.23919/itc.2017.8064351openalex-snapshot
A Multi-objective Heuristic for the Optimization of Virtual Network Function Chain Placement
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.4652openalex-snapshot
An energy‐aware approach for resource managing in the fog‐based Internet of Things using a hybrid algorithm
inferred← citeshttps://doi.org/10.1007/978-3-031-26987-5_5openalex-snapshot
Intelligent Resource Scheduling
inferred← citeshttps://doi.org/10.1007/s10115-025-02599-9openalex-snapshot
An efficient node embedding approach via adaptive graph recurrent autoencoder with attention procedures
inferred← citeshttps://doi.org/10.1007/s10922-023-09771-yopenalex-snapshot
Intelligent and Resource-Conserving Service Function Chain (SFC) Embedding
inferred← citeshttps://doi.org/10.1016/j.comnet.2022.109366openalex-snapshot
A robust control-theory-based exploration strategy in deep reinforcement learning for virtual network embedding
inferred← citeshttps://doi.org/10.1109/ccnc49032.2021.9369463openalex-snapshot
Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing
inferred← citeshttps://doi.org/10.1109/cloudnet55617.2022.9978830openalex-snapshot
NSPlacer: A Tool for Evaluating Service Placement Algorithms in Post-5G Networks
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685037openalex-snapshot
Joint Node-Link Algorithm for Embedding Virtual Networks with Conciliation Strategy
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685796openalex-snapshot
An Approach to Network Service Placement using Intelligent Search Strategies over Branch-and-Bound
inferred← citeshttps://doi.org/10.1109/iccect57938.2023.10141342openalex-snapshot
Energy Efficient VNF Placement Algorithm Using Reinforcement Learning in NFV-Enabled Network
inferred← citeshttps://doi.org/10.1109/iciba62489.2024.10868824openalex-snapshot
Deep Reinforcement Learning-Based Resilient Resource Allocation for Smart Grid Network Slicing
inferred← citeshttps://doi.org/10.1109/iscc58397.2023.10218024openalex-snapshot
A GRASP-Based Algorithm for Virtual Network Embedding
inferred← citeshttps://doi.org/10.1109/jiot.2022.3151134openalex-snapshot
Multiagent Reinforcement-Learning-Aided Service Function Chain Deployment for Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2024.3356750openalex-snapshot
Oneshot Deep Reinforcement Learning Approach to Network Slicing for Autonomous IoT Systems
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3159479openalex-snapshot
Toward Adaptive Joint Node and Link Mapping Algorithms for Embedding Virtual Networks: A Conciliation Strategy
inferred← citeshttps://doi.org/10.1109/tocs56154.2022.10016158openalex-snapshot
Smart Grid Oriented Service Function Chain Deployment Method
inferred← citeshttps://doi.org/10.1109/vtc2021-fall52928.2021.9625390openalex-snapshot
Joint N ode- Link Embedding Algorithm based on Genetic Algorithm in Virtualization Environment
inferred← citeshttps://doi.org/10.22215/etd/2021-14647openalex-snapshot
Distributed and Parallel Metaheuristic-based Algorithms for Online Virtual Resource Allocation
inferred← citeshttps://doi.org/10.70675/69073efbzbb7ez4af2z9724za6c624ab43a0openalex-snapshot
Architecture du plan de contrôle SDN et placement des services réseaux dans les infrastructures des opérateurs
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