NDLI: A hybrid genetic algorithm to the vehicle routing problem with fuzzy cost coefficients

Content Provider	IEEE Xplore Digital Library
Author	Jianyong Zhang Jun Li
Copyright Year	2014
Description	Author affiliation: Bus. Sch., Nankai Univ., Tianjin, China (Jianyong Zhang) \|\| Econ. & Manage. Sch., Tianjin Vocational Inst., Tianjin, China (Jun Li)
Abstract	With the intensification of market competition and fast development of science and technology, many enterprises have begun to realize the importance of logistic distribution vehicle routing problem under uncertainty environment, and begin to pay more attention to the research of this problem. In this paper, the traditional deterministic vehicle routing problem (VRP) is one of the most important and difficult problems in operational research filed in the past many decades. But in many practices, due to the uncertain factors existed in the world and the fuzziness of human being; many parameters of VRP are uncertain or fuzzy. In this paper, the traditional deterministic VRP is expanded to the situation that the VRP has fuzzy features. The traveling time of the VRP are treated as fuzzy numbers in this paper. After a simple description of the VRP with fuzzy traveling time, a mathematical model for the problem is built. Then, a hybrid genetic algorithm to this kind of vehicle scheduling problem is developed based on the effective combination of the genetic algorithm and fuzzy logistic method. Finally, an example is presented.
Starting Page	147
Ending Page	152
File Size	254784
Page Count	6
File Format	PDF
e-ISBN	9781479951482
DOI	10.1109/FSKD.2014.6980823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Vehicle routing Sociology Genetic algorithm Stochastic processes Preference of decision-maker Statistics Biological cells Fuzzy vehicle routing problem Vehicles Genetic algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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