Genetic Algorithm Solution for a Member Selection Problem of Supply Chain Network

Abstract:

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This paper studies a member selection problem of a supply chain network consisting of many different projects, such as supply, manufacturing, distribution, and logistics. It first takes those different projects as a whole one, considers the principal-agent relationships among these enterprises and establishes models using the nonanalytical objective function. It also proposes a genetic algorithm to generate a relatively reasonable solution and validates it with an example.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

2140-2143

DOI:

10.4028/www.scientific.net/AMR.204-210.2140

Citation:

P. Yang "Genetic Algorithm Solution for a Member Selection Problem of Supply Chain Network", Advanced Materials Research, Vols. 204-210, pp. 2140-2143, 2011

Online since:

February 2011

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$35.00

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