A chance constrained programming model for shortest path problem with fuzzy constraints

Pinar Dursun, Erhan Bozdag

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There are several methods in the literature for finding the shortest path under uncertain constraints. In this study a fuzzy chance constrained model based on genetic algorithm is proposed for shortest path problem with fuzzy constraints. The fuzzy simulation algorithm which checks whether fuzzy total travel time is in time window is presented in detail. A numerical example is given, and solved by using proposed method.

Original languageEnglish
Title of host publicationWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages489-494
Number of pages6
ISBN (Print)9789814417730
DOIs
Publication statusPublished - 2012
Event10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Duration: 26 Aug 201229 Aug 2012

Publication series

NameWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Volume7

Conference

Conference10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Country/TerritoryTurkey
CityIstanbul
Period26/08/1229/08/12

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