Matches in SemOpenAlex for { <https://semopenalex.org/work/W3174397329> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W3174397329 endingPage "123" @default.
- W3174397329 startingPage "111" @default.
- W3174397329 abstract "The reliability of a system is represented as the chances of durability that a system will persist up to a stipulated period of time over some prescribed circumstances. Thus, the system reliability depends on exact determination of related parameters. However, due to some unexpected real-life situations, it is not possible to set the exact/proper parametric values of systems. Moreover, during the designing period of the systems, design parameters (viz. component reliabilities, cost, weight, and volume) are basically imprecise in nature. Considering the impreciseness of all the parameters, the reliability redundancy allocation problem (RRAP) has been unraveled by the genetic algorithm (GA) to find out the maximum reliability value of the whole system. The GA is a very popular and effective technique for solving the RRAP. In this chapter, we have applied the GA to find the optimal solution of a five-link bridge network system where all the restrictions associated to the problem are imprecise. The triangular fuzzy number (TFN) is considered to represent the impreciseness of the parameters. The well-known Big-M approach has been exploited to steer the interval constraints of the problem. Moreover, dual-connection numbers (DCNs) have been taken into consideration as they can easily handle impreciseness. Therefore, the main aim of this chapter is to explore a solution procedure for solving the RRAP of a bridge network system with imprecise parameters in which the impreciseness of parameters is described in terms of TFNs. The solution procedure is based on DCNs of fuzzy parameters and use of real coded genetic algorithm (GA). The proposed method is illustrated at the end of the chapter using a hypothetical numerical example." @default.
- W3174397329 created "2021-07-05" @default.
- W3174397329 creator A5039337292 @default.
- W3174397329 date "2021-01-01" @default.
- W3174397329 modified "2023-09-26" @default.
- W3174397329 title "Reliability redundancy allocation problems under fuzziness using genetic algorithm and dual-connection numbers" @default.
- W3174397329 cites W1964990651 @default.
- W3174397329 cites W1966157977 @default.
- W3174397329 cites W1976868141 @default.
- W3174397329 cites W1992031787 @default.
- W3174397329 cites W2001273067 @default.
- W3174397329 cites W2014075191 @default.
- W3174397329 cites W2020941735 @default.
- W3174397329 cites W2023290810 @default.
- W3174397329 cites W2025705970 @default.
- W3174397329 cites W2052179756 @default.
- W3174397329 cites W2072884075 @default.
- W3174397329 cites W2075169987 @default.
- W3174397329 cites W2076138414 @default.
- W3174397329 cites W2077045998 @default.
- W3174397329 cites W2089492481 @default.
- W3174397329 cites W2102505305 @default.
- W3174397329 cites W2104227708 @default.
- W3174397329 cites W2109988251 @default.
- W3174397329 cites W2114621702 @default.
- W3174397329 cites W2115685920 @default.
- W3174397329 cites W2132032636 @default.
- W3174397329 cites W233226375 @default.
- W3174397329 cites W2571306790 @default.
- W3174397329 cites W2955438193 @default.
- W3174397329 cites W3041253915 @default.
- W3174397329 cites W598390580 @default.
- W3174397329 doi "https://doi.org/10.1016/b978-0-12-823749-6.00003-9" @default.
- W3174397329 hasPublicationYear "2021" @default.
- W3174397329 type Work @default.
- W3174397329 sameAs 3174397329 @default.
- W3174397329 citedByCount "1" @default.
- W3174397329 countsByYear W31743973292021 @default.
- W3174397329 crossrefType "book-chapter" @default.
- W3174397329 hasAuthorship W3174397329A5039337292 @default.
- W3174397329 hasConcept C105795698 @default.
- W3174397329 hasConcept C11413529 @default.
- W3174397329 hasConcept C117251300 @default.
- W3174397329 hasConcept C121332964 @default.
- W3174397329 hasConcept C126255220 @default.
- W3174397329 hasConcept C127413603 @default.
- W3174397329 hasConcept C152124472 @default.
- W3174397329 hasConcept C154945302 @default.
- W3174397329 hasConcept C163258240 @default.
- W3174397329 hasConcept C200601418 @default.
- W3174397329 hasConcept C33923547 @default.
- W3174397329 hasConcept C41008148 @default.
- W3174397329 hasConcept C43214815 @default.
- W3174397329 hasConcept C58166 @default.
- W3174397329 hasConcept C62520636 @default.
- W3174397329 hasConcept C8880873 @default.
- W3174397329 hasConceptScore W3174397329C105795698 @default.
- W3174397329 hasConceptScore W3174397329C11413529 @default.
- W3174397329 hasConceptScore W3174397329C117251300 @default.
- W3174397329 hasConceptScore W3174397329C121332964 @default.
- W3174397329 hasConceptScore W3174397329C126255220 @default.
- W3174397329 hasConceptScore W3174397329C127413603 @default.
- W3174397329 hasConceptScore W3174397329C152124472 @default.
- W3174397329 hasConceptScore W3174397329C154945302 @default.
- W3174397329 hasConceptScore W3174397329C163258240 @default.
- W3174397329 hasConceptScore W3174397329C200601418 @default.
- W3174397329 hasConceptScore W3174397329C33923547 @default.
- W3174397329 hasConceptScore W3174397329C41008148 @default.
- W3174397329 hasConceptScore W3174397329C43214815 @default.
- W3174397329 hasConceptScore W3174397329C58166 @default.
- W3174397329 hasConceptScore W3174397329C62520636 @default.
- W3174397329 hasConceptScore W3174397329C8880873 @default.
- W3174397329 hasLocation W31743973291 @default.
- W3174397329 hasOpenAccess W3174397329 @default.
- W3174397329 hasPrimaryLocation W31743973291 @default.
- W3174397329 hasRelatedWork W1970431759 @default.
- W3174397329 hasRelatedWork W2002593334 @default.
- W3174397329 hasRelatedWork W2004786607 @default.
- W3174397329 hasRelatedWork W2013081562 @default.
- W3174397329 hasRelatedWork W2029953761 @default.
- W3174397329 hasRelatedWork W2350981707 @default.
- W3174397329 hasRelatedWork W2532065901 @default.
- W3174397329 hasRelatedWork W4235504990 @default.
- W3174397329 hasRelatedWork W4310605270 @default.
- W3174397329 hasRelatedWork W2184995403 @default.
- W3174397329 isParatext "false" @default.
- W3174397329 isRetracted "false" @default.
- W3174397329 magId "3174397329" @default.
- W3174397329 workType "book-chapter" @default.