Treffer: Integration of fuzzy theory and ant algorithm for vehicle routing problem with time window

Title:
Integration of fuzzy theory and ant algorithm for vehicle routing problem with time window
Source:
NAFIPS 2004 (2004 Annual Meeting of the North American Fuzzy Information Processing Society). :925-930
Publisher Information:
Piscataway NJ: IEEE, 2004.
Publication Year:
2004
Physical Description:
print, 11 ref 2
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Industrial Engineering and Management National Taipei University of Technology, Taipei, 106, Tawain, Province of China
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17808702
Database:
PASCAL Archive

Weitere Informationen

This study intends to apply ant colony optimization algorithm for vehicle routing problem with time window. Fuzzy sets theory is employed to transform time variables into fuzzy variables and then search the shortest vehicle route. The evaluation results showed that setting service level between 70% and 90% has the better result Besides, the analysis of route and the interval of time window have great impact on the result of route planning.