.png){kind=icon}
返回
An integer encoding grey wolf optimizer for virtual network function placement
.png){kind=icon}
PRE
AI
DOI：10.1016/j.asoc.2018.12.037.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper studies the virtual network function placement (VNF-P) problem in the context of network function virtualization (NFV), where the end-to-end delay of a requested service function chain (SFC) is minimized and the compute, storage, I/O and bandwidth resources are considered. To address this problem, an integer encoding grey wolf optimizer (IEGWO) is proposed. IEGWO has two significant features, namely an integer encoding scheme and a new wolf position update mechanism. The integer encoding scheme is problem-specific and offers a natural way to represent VNF-P solutions. The proposed wolf position update mechanism divides the wolf pack into two groups in each iteration, where one group performs exploitation while the other focuses on global exploration. It provides the search with a balanced local exploitation and global exploration during evolution. Performance evaluation has been conducted based on 20 test instances and IEGWO is compared with five state-of-the-art meta-heuristics, including the black hole algorithm (BH), the genetic algorithm (GA), the group counseling optimization (GCO), the particle swarm optimization (PSO) and the teaching-learning-based optimization (TLBO). Simulation results demonstrate that compared with BH, GA, GCO, PSO and TLBO, IEGWO achieves significantly better solution quality regarding the mean (standard deviation), boxplot and t-test results of the best fitness values obtained. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Network function virtualization
Virtual network function
Grey wolf optimizer
Evolutionary algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.6
论文数:
1.4W
被引数:
4.8W
机构
引用论文
.png){kind=icon}
Binary dragonfly optimization for feature selection using time-varying transfer functions使用时变传递函数进行特征选择的二进制蜻蜓优化
OAAI
OAAI分享收藏分享收藏Design and evaluation of schemes for provisioning service function chain with function scalabilityOAAI
OAAI分享收藏
查看更多内容