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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | França, P.M. Usberti, F.L. Morelato, A.L. |
| Copyright Year | 2010 |
| Description | Author affiliation: São Paulo State University, Presidente Prudente, SP-Brazil, 19060-900 (França, P.M.) || Campinas State University, SP - Brazil, 13083-852 (Usberti, F.L.; Morelato, A.L.) |
| Abstract | The Capacitated Arc Routing Problem (CARP) [1] is a well-known combinatorial optimization problem in which, given an undirected graph G(V ;E) with non-negative costs and demands associated to the edges, we have M identical vehicles with capacity D that must traverse all edges with positive demand. The vehicles must start and finish their tours at a depot node, without transgressing their capacity. The objective is to search for a solution of minimum cost. The CARP was shown to be NP-hard [1], which means that an exact polynomial algorithm for this problem is most unlikely. Nevertheless, there are several heuristics that tackle this problem and which perform very well in most cases. Some of these are path-scanning [2], [3], augment-merge [1], augment-insert [4], among other heuristics [5], [6]. Even better solutions were obtained through meta-heuristics such as the tabu search [7], as well as a genetic algorithm [8], a hybrid tabu-scatter search algorithm [9], and a guided local search [10]. There is also an exact algorithm for the CARP based upon a branch-and-bound strategy [11] which, however, can solve only small size instances (up to 20 required edges). Furthermore, there are algorithms that can determine upper and lower bounds for the CARP [12]. |
| Starting Page | 1 |
| Ending Page | 1 |
| File Size | 62600 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781424477166 |
| e-ISBN | 9781424477173 |
| DOI | 10.1109/AICCSA.2010.5586978 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-16 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Routing Computers Operations research Search problems Optimization Computational modeling Vehicles |
| Content Type | Text |
| Resource Type | Article |
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