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A Hybrid Grouping Genetic Algorithm for the Multiple-Type Access Node Location Problem

机译:多类型接入节点定位问题的混合分组遗传算法

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摘要

This paper presents a new model for the access node location problem (ANLP) in communications networks, in which the access nodes (concentrators) can be chosen from different types (with different capacity and cost). The paper also proposes a hybrid grouping genetic algorithm which is able to efficiently solve the problem, In the paper, the main characteristics of the algorithm (encoding, operators and fitness function) are fully described, and its performance has been shown by solving different ANLP instances incorporating the new model.
机译:本文提出了一种用于通信网络中接入节点位置问题(ANLP)的新模型,其中可以从不同类型(具有不同的容量和成本)中选择接入节点(集中器)。本文还提出了一种能够有效解决该问题的混合分组遗传算法,充分描述了该算法的主要特点(编码,运算符和适应度函数),并通过求解不同的ANLP来展示其性能。新模型的实例。

著录项

  • 来源
  • 会议地点 Burgos(ES);Burgos(ES)
  • 作者单位

    Department of Signal Theory and Communications, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain;

    Department of Signal Theory and Communications, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain;

    Department of Signal Theory and Communications, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain;

    Department of Signal Theory and Communications, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain;

    Department of Signal Theory and Communications, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain;

    Department of Signal Theory and Communications, Universidad de Alcala, 28871 Alcala de Henares, Madrid, Spain;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
  • 关键词

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