NGA) approach to design an optimal material distribution system. We demonstrate the feasibility of the proposed approach by numerical experiments." />
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An Optimal Material Distribution System Based on Nested Genetic Algorithm

Chih-Chin LAI
Shing-Hwang DOONG

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E87-D    No.3    pp.780-784
Publication Date: 2004/03/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Algorithms
Keyword: 
material distribution,  facility location,  genetic algorithms,  

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Summary: 
The number and location of the inventory centers play an important role in the material distribution process since residents and inventory centers may be in dispersed regions. In this paper, we view the problem of finding the better locations for the inventory centers as an optimization problem, and propose a nested genetic algorithm (NGA) approach to design an optimal material distribution system. We demonstrate the feasibility of the proposed approach by numerical experiments.

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