DocumentCode
1129068
Title
A guided cooperative search for the vehicle routing problem with time windows
Author
Bouthillier, Alexandre Le ; Crainic, Teodor G. ; Kropf, Peter
Author_Institution
Montreal Univ., Que., Canada
Volume
20
Issue
4
fYear
2005
Firstpage
36
Lastpage
42
Abstract
We have developed a pattern-identification mechanism that endows cooperative search with capabilities to create new information and guide the global search. The proposed mechanism sends information to independent metaheuristics about promising and unpromising patterns in the solution space. By fixing or prohibiting specific solution attribute values in certain search metaheuristics, we can focus the search on desired regions. The mechanism thus enforces better coordination between individual methods and controls the global search´s diversification and intensification. An enhanced cooperative-search mechanism creates new information from exchanged solutions and guides the global search with a pattern-identification mechanism.
Keywords
search problems; transportation; warehousing; guided cooperative search; metaheuristics problem; pattern identification mechanism; time windows; vehicle routing problem; Concurrent computing; Evolutionary computation; Logic; Parallel processing; Robustness; Routing; Search methods; Space exploration; Vehicles; Yarn; parallel computation; parallel cooperative search; vehicle routing problem with time windows;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2005.58
Filename
1492315
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