The Traffic Matrix Estimation Algorithm Based on Hybrid Niche and Artificial Immune System

SUN Bin; WANG Xin-yong

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The Traffic Matrix Estimation Algorithm Based on Hybrid Niche and Artificial Immune System

更新时间：2026-09-04

- The Traffic Matrix Estimation Algorithm Based on Hybrid Niche and Artificial Immune System
- Vol. 31, Issue 1, Pages: 8-12(2014)
- 作者机构：
  
  1. 1 内蒙古科技大学机构经济与管理学院,内蒙古,包头,014010
  2. 2 河南科技大学机构电子信息工程学院,河南,洛阳,471023
- 作者简介：
- 基金信息：
- DOI：
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- Published：2014
- 稿件说明：
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孙斌, 王新勇. 基于混合小生境人工免疫系统的流量矩阵估测算法[J]. 微电子学与计算机, 2014, 31(1): 8-12.

SUN Bin, WANG Xin-yong. The Traffic Matrix Estimation Algorithm Based on Hybrid Niche and Artificial Immune System[J]. 2014, 31(1): 8-12.
孙斌, 王新勇. 基于混合小生境人工免疫系统的流量矩阵估测算法[J]. 微电子学与计算机, 2014, 31(1): 8-12. DOI：

SUN Bin, WANG Xin-yong. The Traffic Matrix Estimation Algorithm Based on Hybrid Niche and Artificial Immune System[J]. 2014, 31(1): 8-12. DOI：

摘要

为了解决网络流量矩阵估测精度不高的问题，基于混合小生境人工免疫系统建立一种新的算法HNAIS （Hybrid Niche and Artificial Immune System Algorithm）.该方法首先结合链路负载和连通度矩阵定义了流量矩阵模型，并利用人工免疫系统方法对模型进行求解，同时引入小生境技术来优化计算结果，避免陷入局部最优.最后，通过利用OPNET和MATLAB进行仿真实验，深入研究了影响该算法的关键因素.实验结果表明，相比于其他算法，HNAIS具有较好的适应性.

Abstract

In order to mitigate the estimation accuracy of traffic matrix

a new algorithm HNAIS (Hybrid Niche and Artificial Immune System algorithm) is presented by Hybrid niche and artificial immune system.In this algorithm

the Traffic Matrix model is proposed with link load and connectivity matrix at first

which is solved by artificial immune system.Then

the calculation result is optimized with niche technology to avoid falling into the local optimum.At last

a simulation with OPNET and MATLAB was conducted to study the key influence factors.The result shows that

compared to other algorithm

HNAIS has better adaptability.

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