A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO

Applied Soft Computing Journal

Volumn 43, Issue , 2016, Pages 57-72

  Mousavi, Seyed Mohsen ^a,b   Sadeghi, Javad ^b   Niaki, Seyed Taghi Akhavan ^c   Tavana, Madjid ^d,e  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^d LA SALLE UNIVERSITY   (United States)

^e UNIVERSITY OF PADERBORN   (Germany)

Author keywords

Discounts; Inflation; MOPSO; Multiproduct inventory control; NRGA; NSGA II; Shortages; Taguchi method

Indexed keywords

ALGORITHMS; COSTS; GENETIC ALGORITHMS; INVENTORY CONTROL; NUMERICAL METHODS; OPTIMIZATION; PARETO PRINCIPLE; PARTICLE SWARM OPTIMIZATION (PSO); SCREENING; SUPPLY CHAINS; TAGUCHI METHODS;

DISCOUNTS; INFLATION; MOPSO; MULTI-PRODUCTS; NRGA; NSGA-II; SHORTAGES;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84960172310     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2016.02.014     Document Type: Article

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