NDLI: A hybrid genetic algorithm for two-layer location-routing problem

Content Provider	IEEE Xplore Digital Library
Author	Li Jin Yunlong Zhu Hai Shen Tao Ku
Copyright Year	2010
Description	Author affiliation: Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, China (Li Jin; Yunlong Zhu; Hai Shen; Tao Ku)
Abstract	Location-routing problem (LRP) is a combinational optimization problem in a logistics system. Most heuristic methods employed for LRP is dividing the problem into location assignment and vehicle routing with a two-phase method, but this method often does not lead to a satisfactory result for the information can not be compressed from one phase to the other efficiently. In this paper we are concerned with a particular type of facility location problem in which there exists two echelons of facilities, and use a hybrid genetic algorithm to solve the problem regarding its solution as a whole, and thus easily obtain the optimal solution. Genetic algorithm uses a three-level chromosome coding method composed of binary code and integer code. Improving crossover and mutation with tabu search algorithm to increase search efficiency. The numerical results indicate that the method is feasible for practical applications.
Starting Page	642
Ending Page	645
File Size	677069
Page Count	4
File Format	PDF
ISBN	9781424469826
e-ISBN	9788988678176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-11
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	three-layer distribution network Costs Automation Genetic mutations Laboratories Routing Educational institutions location-routing problem Agricultural engineering Genetic algorithms Vehicles Tabu search algorithm Genetic algorithm Informatics
Content Type	Text
Resource Type	Article

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