Decomposing Large-Scale Capacitated Arc Routing Problems using a Random Route Grouping Method

被引:0
|
作者
Mei, Yi [1 ]
Li, Xiaodong [1 ]
Yao, Xin [2 ]
机构
[1] RMIT Univ, Sch Comp Sci & Informat Technol, Melbourne, Vic 3000, Australia
[2] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England
基金
英国工程与自然科学研究理事会;
关键词
SEARCH; ALGORITHM;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, a simple but effective Random Route Grouping (RRG) scheme is developed to decompose the Large-Scale Capacitated Arc Routing Problem (LSCARP). A theoretical analysis is given to show that the decomposition is guaranteed to be improved by RRG along with the improvement of the best-sofar solution during the search process. Then, RRG is combined with a cooperative co-evolution model to solve LSCARP. The experimental results on the EGL-G LSCARP set showed that given the same computational budget, the proposed approach obtained much better results than its counterpart without using decomposition.
引用
收藏
页码:1013 / 1020
页数:8
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