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

Applied Soft Computing Journal

Volumn 30, Issue , 2015, Pages 567-576

  Sadeghi, Javad ^a   Niaki, Seyed Taghi Akhavan ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

NRGA; NSGA II; Parameter tuning; Taguchi method; Trapezoidal fuzzy demand; Vendor managed inventory

Indexed keywords

ALGORITHMS; BUDGET CONTROL; ELECTRIC LOAD DISPATCHING; FUZZY SETS; GENETIC ALGORITHMS; INTEGER PROGRAMMING; NONLINEAR PROGRAMMING; PARAMETER ESTIMATION; PROBLEM SOLVING; SUPPLY CHAINS; TAGUCHI METHODS; WAREHOUSES;

FUZZY DEMAND; NRGA; NSGA-II; PARAMETER-TUNING; VENDOR MANAGED INVENTORY;

EVOLUTIONARY ALGORITHMS;

EID: 84923799932     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.02.013     Document Type: Article

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