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Reformulation and Metaheuristic for the Team Orienteering Arc Routing Problem
被引:1
|作者:
Ke, Liangjun
[1
]
Yang, Weibo
[1
]
机构:
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
来源:
ADVANCES IN SWARM INTELLIGENCE, ICSI 2017, PT II
|
2017年
/
10386卷
基金:
中国国家自然科学基金;
关键词:
Vehicle routing problem;
Metaheuristic;
Team orienteering problem;
Arc routing problem;
Iterated local search;
IMPROVEMENT;
D O I:
10.1007/978-3-319-61833-3_52
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
The team orienteering arc routing problem (TOARP) is a relatively new vehicle routing problem. In this problem, a fleet of vehicles are available to serve two sets of customers, each of which is associated with an arc of a directed graph. The customers of the first set are required to be served whereas the ones of the second set are potential and may be not served. Each potential customer is associated with a profit, and the profit can be gained at most once when it is served. The TOARP aims to maximize the total profit gained by serving the customers while each vehicle must start from and end at a depot within a permitted maximum traveling time. This paper shows that the TOARP can be transformed into a team orienteering problem defined on a directed graph. To solve the TOARP, an iterated local search based algorithm is presented. The effectiveness of the proposed algorithm is studied on the benchmark instances.
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页码:494 / 501
页数:8
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