Two tuned multi-objective meta-heuristic algorithms for solving a fuzzy multi-state redundancy allocation problem under discount strategies

Applied Mathematical Modelling

Volumn 39, Issue 22, 2015, Pages 6968-6989

  Mousavi, Seyed Mohsen ^a,d   Alikar, Najmeh ^a   Niaki, Seyed Taghi Akhavan ^b   Bahreininejad, Ardeshir ^c  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^c FACULTY OF ENGINEERING   (Brunei Darussalam)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

CE NRGA; Fuzzy universal generating function; Multi objective optimization; Redundancy allocation problem; Taguchi method

Indexed keywords

AVAILABILITY; BUDGET CONTROL; FUNCTION EVALUATION; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; REDUNDANCY; TAGUCHI METHODS;

CONTROLLED ELITISMS; INCREMENTAL QUANTITY DISCOUNTS; MATHEMATICAL FORMULATION; META HEURISTIC ALGORITHM; NON DOMINATED SORTING GENETIC ALGORITHM (NSGA II); REDUNDANCY ALLOCATION PROBLEM; SERIES-PARALLEL SYSTEM; UNIVERSAL GENERATING FUNCTIONS;

HEURISTIC ALGORITHMS;

EID: 84947488505     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2015.02.040     Document Type: Article

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