NDLI: Fuzzy shortest path problem in cyclic weighted multi-graphs

Content Provider	IEEE Xplore Digital Library
Author	Zarandi, M.H.F. Avazbeigi, M.
Copyright Year	2011
Description	Author affiliation: Soft Computing and Intelligent Data Analysis, European Centre for Soft Computing, Mieres, Spain (Avazbeigi, M.) \|\| Industrial Engineering Department, Amirkabir University of Technology, Tehran, Iran (Zarandi, M.H.F.)
Abstract	This paper addresses the shortest path problem in a fuzzy directed graph. Unlike the previous approaches, the proposed approach can be applied for networks which may consist of cycles and parallel arcs that each arc length is defined by a fuzzy number. It should be noted that the crisp shortest path problem has already been solved however in many real world applications the exact value of arcs is not clear and hence there is a need to model uncertainty. A fuzzy set, "traffic-free", is defined in order to define arcs membership function values. The approach seeks for a minimal path that meets the designed traffic ratio. In order to formulate the problem, credibility measure is used. For solving the formulated problem, a hybrid intelligent algorithm integrating fuzzy simulation and genetic algorithm is designed. Results show that the algorithm converges in a more reasonable time in comparison with conventional approaches.
Starting Page	1
Ending Page	6
File Size	828760
Page Count	6
File Format	PDF
ISBN	9781612849683
e-ISBN	9781612849683
e-ISBN	9781612849676
DOI	10.1109/NAFIPS.2011.5752005
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological cells Genetic algorithms Transportation Shortest path problem Heuristic algorithms Algorithm design and analysis Genetics Minimal path Fuzzy Shortest Path Problem (FSPP) Fuzzy weighted graphs Hybrid intelligent algorithm
Content Type	Text
Resource Type	Article

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