NDLI: A Genetic Algorithm to Vehicle Routing Problem in Reverse Logistics

Content Provider	IEEE Xplore Digital Library
Author	Li Jun Zhang Jian-yong
Copyright Year	2007
Description	Author affiliation: Tianjin Professional Coll., Tianjin (Li Jun)
Abstract	Recently, the increasing focus on environmental protection has led to significant change in logistics processes. Reverse logistics begin to be paid more attention by researchers. In reverse logistics, the customers who have both a pick-up and a delivery demand are serviced with a single stop. In this paper, the reverse logistics problem of simultaneously distributing commodities and collecting re-usable empty packages with a single depot and a fleet of uniform vehicles is studied. Commodities to be distributed are loaded at the depot and delivered to the customers. The empty packages are collected from the customers and transported back to the depot. The objective is to minimize the total distance traveled by all vehicles while servicing all customers. After a simple description of the problem, the vehicle routing problems in reverse logistics is investigated, a mathematic model of the problem is built. Then, a genetic algorithm to the problem is suggested. In this algorithm, the ranking replacement method is used, and the population is partitioned into four subsets with respect to the fitness and unfitness of the offspring. Finally, the proposed genetic algorithm is successfully applied to some problems, and the superiority of the genetic algorithm is proved through the comparison of the genetic algorithms with a heuristic algorithm.
Starting Page	573
Ending Page	578
File Size	3566549
Page Count	6
File Format	PDF
ISBN	9787560322780
DOI	10.1109/ICMSE.2007.4421908
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	HARBIN INSTITUTE OF TEC
Subject Keyword	Heuristic algorithms Vehicle routing problem Routing Mathematics Partitioning algorithms reverse logistics Genetic algorithms Vehicles genetic algorithm Reverse logistics Packaging Mathematical model Protection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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