Tour Route Planning Based on Ant Colony System

被引：1
|
作者：
Zhou, Yipeng [1 ,2 ]
Du, Junping [3 ]
Xu, Feng [3 ]
Yang, Yang [1 ]
Tu, Xuyan [1 ]
机构：
[1] Univ Sci & Technol Beijing, Informat Engn Sch, Beijing 100083, Peoples R China
[2] Beijing Technol & Business Univ, Sch Comp Sci, Beijing 100037, Peoples R China
[3] Beihang Univ Posts & Telecommun, Sch Comp Sci & Technol, Key Lab Intelligent Telecommun Software & Multime, Beijing 100191, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL I | 2009年
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
D O I：
10.1109/GCIS.2009.352
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a random meeting algorithm is introduced into ant colony system This algorithm can improve the quality of the ant's tour and can be used to make tour route planning. The improved calculating method of distance can balance the load in scenic spots and has the capability of dynamic route planning. The experimental results show that the proposed algorithm is effective and practical
引用
收藏
页码：218 / +
页数：2
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