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- W2183603906 abstract "Thispaperoutlines areal-world industrial prob- lemforproduct-mix selection involving 8decision variables and 21constraints withfuzzycoefficients. On onehand,amulti- objective optimization approach tosolve thefuzzy problem is proposed. Modified S-curve membership functions areconsid- ered. Ontheother hand, anadhocPareto-based multi-objective evolutionary algorithm tocapture multiple non dominated solutions inasingle runofthealgorithm isdescribed. Solutions inthePareto front corresponds withthefuzzy solution ofthe former fuzzy problem expressed intermsofthegroupofthree (z, ,u,o),i.e., optimal solution -level ofsatisfaction -vagueness factor. Decision-maker couldchoose, ina posteriori decision environment, themostconvenient optimal solution according tohislevel ofsatisfaction andvagueness factor. Theproposed algorithm hasbeenevaluated withtheexisting methodologies inthefield andtheresults havebeencompared withthewell- knownmulti-objective evolutionary algorithm NSGA-II." @default.
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- W2183603906 date "2007-01-01" @default.
- W2183603906 modified "2023-09-27" @default.
- W2183603906 title "FuzzyOptimization withMulti-Objective Evolutionary Algorithms: aCaseStudy" @default.
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- W2183603906 hasPublicationYear "2007" @default.
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