Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm

Transportation Research Part E: Logistics and Transportation Review

Volumn 70, Issue 1, 2014, Pages 274-292

  Sadeghi, Javad ^a   Mousavi, Seyed Mohsen ^a   Niaki, Seyed Taghi Akhavan ^b   Sadeghi, Saeid ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Hybrid bat algorithm; Parameter tuning; Redundancy allocation problem (RAP); Transportation cost; Vendor managed inventory (VMI)

Indexed keywords

GENETIC ALGORITHMS; PARAMETER ESTIMATION; REDUNDANCY;

ALLOCATION PROBLEMS; BAT ALGORITHMS; BI OBJECTIVES; HYBRID BAT ALGORITHM; PARAMETERS TUNING; REDUNDANCY ALLOCATION; REDUNDANCY ALLOCATION PROBLEM; TRANSPORTATION COST; VENDOR MANAGED INVENTORY;

SUPPLY CHAINS;

GENETIC ALGORITHM; META-ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; TRANSPORTATION PLANNING; TRANSPORTATION SYSTEM; ARTIFICIAL INTELLIGENCE; COST; TRANSPORTATION DEVELOPMENT;

EID: 84906058205     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2014.07.007     Document Type: Article

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