A monkey-king algorithm for supply chain network design under uncertainty

This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. We formulate model by fuzzy programming and develop monkey-king algorithm to solve the proposed model. Thro...

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Bibliographic Details
Published in2008 7th World Congress on Intelligent Control and Automation pp. 4937 - 4940
Main Authors Yuansheng Huang, Zilong Qiu, Qingchao Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
Algorithm design and analysis
Biological system modeling
Fuzzy Simulation
Genetic algorithms
Monkey-King Algorithm
Programming
Raw materials
Stochastic processes
Stochastic Simulation
Supply Chain Network
Supply chains
Uncertainty
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ISBN1424421136
9781424421138
DOI10.1109/WCICA.2008.4593726

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Summary:This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. We formulate model by fuzzy programming and develop monkey-king algorithm to solve the proposed model. Through an example, compared with the traditional genetic algorithm, it is proved that the presented algorithm has advantages in calculation efficiency.
ISBN:1424421136
9781424421138
DOI:10.1109/WCICA.2008.4593726