<link rel="stylesheet" href="styles.cf390c6bfbe7555f.css"> Skip to main content

Improved solutions for the Chinese postman problem on mixed networks

dc.citation.epage827en_US
dc.citation.issue8en_US
dc.citation.spage819en_US
dc.citation.volume26en_US
dc.citation.woscount6
dc.contributor.authorPearn, WLen_US
dc.contributor.authorChou, JBen_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.date.accessioned2014-12-08T15:46:25Z
dc.date.available2014-12-08T15:46:25Z
dc.date.issued1999-07-01en_US
dc.description.abstractThe Chinese postman problem (CPP) is that of finding the shortest postman tour covering all the roads in the network. The CPP is polynomial-time solvable on totally directed or undirected networks, but is NP-complete on mixed networks (MCPP). Several heuristic solution procedures including Mixed-1, Mixed-2 Modified Mixed-1, and Modified Mixed-2 algorithms, have been proposed to solve the problem approximately. In this paper, we briefly review these four existing algorithms, then propose two improvement procedures to improve the solutions. The proposed procedures are tested and compared with the four existing algorithms. The results show that the proposed procedures significantly improve the existing solutions. (C) 1999 Elsevier Science Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/S0305-0548(98)00092-6en_US
dc.identifier.issn0305-0548en_US
dc.identifier.journalCOMPUTERS & OPERATIONS RESEARCHen_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0305-0548(98)00092-6en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/31236
dc.identifier.wosnumberWOS:000079830400006
dc.language.isoen_USen_US
dc.subjectcombinatorial optimizationen_US
dc.subjectnetwork routingen_US
dc.titleImproved solutions for the Chinese postman problem on mixed networksen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
000079830400006.pdf
Size:
119.13 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: