A genetic algorithm for the capacitated arc routing problem and its extensions

被引：0
|
作者：
Lacomme, P [1 ]
Prins, C [1 ]
Ramdane-Chérif, W [1 ]
机构：
[1] Univ Technol Troyes, Lab Ind Syst Optimizat, F-10010 Troyes, France
来源：
APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS | 2001年 / 2037卷
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The NP-hard Capacitated Arc Routing Problem (CARP) allows to model urban waste collection or road gritting, for instance. Exact algorithms are still limited to small problems and metaheuristics are required for large scale instances. The paper presents the first genetic algorithm (GA) published for the CARP. This hybrid GA tackles realistic extensions like mixed graphs or prohibited turns. It displays excellent results and outperforms the best metaheuristics published when applied to two standard sets of benchmarks: the average deviations to lower bounds are 0.24 % and 0.69 % respectively, a majority of instances are solved to optimality, and eight best known solutions are improved.
引用
收藏
页码：473 / 483
页数：11
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