Two parameter tuned multi-objective evolutionary algorithms for a bi-objective vendor managed inventory model with trapezoidal fuzzy demand

Inventory levels in the supply chain with two retailers. •We present a bi-objective inventory model for a supply chain problem.•We consider trapezoidal fuzzy demand and two constraints in the modeling.•We employ MOEA to optimize a bi-objective integer nonlinear programming problem.•The parameters of...

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Vydané v:	Applied soft computing Ročník 30; s. 567 - 576
Hlavní autori:	Sadeghi, Javad, Niaki, Seyed Taghi Akhavan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2015
Predmet:	NRGA NSGA-II Parameter tuning Taguchi method Trapezoidal fuzzy demand Vendor managed inventory NSGA-II NRGA Vendor managed inventory Parameter tuning Trapezoidal fuzzy demand Taguchi method
ISSN:	1568-4946, 1872-9681
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