| 注册
首页|期刊导航|计算机应用研究|求解指路标志指引路径规划问题的改进人工蜂群算法

求解指路标志指引路径规划问题的改进人工蜂群算法

郑健 黄敏 张腾 刘芳

计算机应用研究2017,Vol.34Issue(8):2355-2359,5.
计算机应用研究2017,Vol.34Issue(8):2355-2359,5.DOI:10.3969/j.issn.1001-3695.2017.08.027

求解指路标志指引路径规划问题的改进人工蜂群算法

Modified artificial bee colony algorithm for solvingpath planning problem of guide signs

郑健 1黄敏 1张腾 1刘芳1

作者信息

  • 1. 中山大学 工学院 广东省智能交通系统重点实验室,广州 510006
  • 折叠

摘要

Abstract

For the problem of guiding path planning of guide signs, this paper proposed a model based on modified artificial bee colony algorithm.Firstly, at the target of minimizing the composite cost of traffic volume, path length and placed new guide sign panels, this paper described the problem of guiding path planning in detail.Secondly, the model applied artificial bee colony algorithm to solve this problem.In terms of improving the convergence speed and optimal performance, this paper introduced the genetic hybrid genes, elite reserved strategy and dynamic scout bees to improve the traditional artificial bee co-lony algorithm.Finally, this paper applied the proposed model in the tested area and the experimental results show that the modified artificial bee colony algorithm is better than the traditional artificial bee colony algorithm for solving the guiding path planning problem of guide signs.

关键词

指路标志/路径规划/改进人工蜂群算法

Key words

guide sign/guiding path planning/modified artificial bee colony algorithm

分类

信息技术与安全科学

引用本文复制引用

郑健,黄敏,张腾,刘芳..求解指路标志指引路径规划问题的改进人工蜂群算法[J].计算机应用研究,2017,34(8):2355-2359,5.

基金项目

广东省科技计划资助项目(2016A020223006,2016B090918038,2015B010110005) (2016A020223006,2016B090918038,2015B010110005)

广州市科技计划资助项目(201510010247) (201510010247)

高校基本科研业务费资助项目(15lgpy10) (15lgpy10)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

访问量0
|
下载量0
段落导航相关论文