NDLI: Solving material distribution routing problem in mixed manufacturing systems with a hybrid multi-objective evolutionary algorithm

Content Provider	Springer Nature Link
Author	Gao, Gui bing Zhang, Guo jun Huang, Gang Zhu, Hai ping Gu, Pei hua
Copyright Year	2012
Abstract	The material distribution routing problem in the manufacturing system is a complex combinatorial optimization problem and its main task is to deliver materials to the working stations with low cost and high efficiency. A multi-objective model was presented for the material distribution routing problem in mixed manufacturing systems, and it was solved by a hybrid multi-objective evolutionary algorithm (HMOEA). The characteristics of the HMOEA are as follows: 1) A route pool is employed to preserve the best routes for the population initiation; 2) A specialized best-worst route crossover (BWRC) mode is designed to perform the crossover operators for selecting the best route from Chromosomes 1 to exchange with the worst one in Chromosomes 2, so that the better genes are inherited to the offspring; 3) A route swap mode is used to perform the mutation for improving the convergence speed and preserving the better gene; 4) Local heuristics search methods are applied in this algorithm. Computational study of a practical case shows that the proposed algorithm can decrease the total travel distance by 51.66%, enhance the average vehicle load rate by 37.85%, cut down 15 routes and reduce a deliver vehicle. The convergence speed of HMOEA is faster than that of famous NSGA-II.
Starting Page	433
Ending Page	442
Page Count	10
File Format	PDF
ISSN	20952899
Journal	Journal of Central South University of Technology
Volume Number	19
Issue Number	2
e-ISSN	22275223
Language	English
Publisher	Central South University
Publisher Date	2012-01-28
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	material distribution routing problem multi-objective optimization evolutionary algorithm local search Metallic Materials Engineering
Content Type	Text
Resource Type	Article
Subject	Metals and Alloys Engineering

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