Matches in SemOpenAlex for { <https://semopenalex.org/work/W2942933022> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2942933022 abstract "A nonlinear integer programming model is developed in this article to solve redundancy allocation problems with multiple components having different failure rates in the series–parallel configuration using an active strategy. The main objective of this research is to select the number and the type of each component in subsystems so as the reliability of the system under certain constraints is maximized. To this aim, a weighted K-means clustering method is proposed, in which the analytical network process is employed to assign weights to the components of each cluster. As the proposed model belongs to the class of nondeterministic polynomial-time hardness problems, precise solution methods cannot solve it in large scale. Therefore, an invasive weed optimization algorithm, due to its proven high efficiency, is utilized to solve the problem. As there is no benchmark available in the literature, a harmony search algorithm and a genetic algorithm are employed as well to validate the results obtained. In order to find better solutions, response surface methodology is used to tune the parameters of the solution algorithms. Some numerical illustrations are solved in the end to not only show the application of the proposed methodology but also to validate the solution obtained and to compare the performance of the three solution algorithms. Experimental results are generally in favor of the invasive weed optimization." @default.
- W2942933022 created "2019-05-09" @default.
- W2942933022 creator A5028819823 @default.
- W2942933022 creator A5064303268 @default.
- W2942933022 creator A5067126720 @default.
- W2942933022 creator A5071179369 @default.
- W2942933022 creator A5089303474 @default.
- W2942933022 date "2019-05-03" @default.
- W2942933022 modified "2023-09-26" @default.
- W2942933022 title "A weighted K-means clustering approach to solve the redundancy allocation problem of systems having components with different failures" @default.
- W2942933022 cites W1669863243 @default.
- W2942933022 cites W1902062008 @default.
- W2942933022 cites W1964024857 @default.
- W2942933022 cites W1977456296 @default.
- W2942933022 cites W1987297384 @default.
- W2942933022 cites W1988752523 @default.
- W2942933022 cites W2005239252 @default.
- W2942933022 cites W2022123067 @default.
- W2942933022 cites W2022733466 @default.
- W2942933022 cites W2024501662 @default.
- W2942933022 cites W2025148441 @default.
- W2942933022 cites W2031611406 @default.
- W2942933022 cites W2041141989 @default.
- W2942933022 cites W2050121874 @default.
- W2942933022 cites W2050252315 @default.
- W2942933022 cites W2056144381 @default.
- W2942933022 cites W2071936672 @default.
- W2942933022 cites W2080553768 @default.
- W2942933022 cites W2123608693 @default.
- W2942933022 cites W2129734500 @default.
- W2942933022 cites W2179167909 @default.
- W2942933022 cites W2234257563 @default.
- W2942933022 cites W2285813060 @default.
- W2942933022 cites W2403204598 @default.
- W2942933022 cites W2508702640 @default.
- W2942933022 cites W2522822863 @default.
- W2942933022 cites W2583966722 @default.
- W2942933022 cites W2769901253 @default.
- W2942933022 cites W2774658068 @default.
- W2942933022 cites W2882978227 @default.
- W2942933022 cites W4250503569 @default.
- W2942933022 doi "https://doi.org/10.1177/1748006x19844127" @default.
- W2942933022 hasPublicationYear "2019" @default.
- W2942933022 type Work @default.
- W2942933022 sameAs 2942933022 @default.
- W2942933022 citedByCount "1" @default.
- W2942933022 countsByYear W29429330222021 @default.
- W2942933022 crossrefType "journal-article" @default.
- W2942933022 hasAuthorship W2942933022A5028819823 @default.
- W2942933022 hasAuthorship W2942933022A5064303268 @default.
- W2942933022 hasAuthorship W2942933022A5067126720 @default.
- W2942933022 hasAuthorship W2942933022A5071179369 @default.
- W2942933022 hasAuthorship W2942933022A5089303474 @default.
- W2942933022 hasConcept C111919701 @default.
- W2942933022 hasConcept C124101348 @default.
- W2942933022 hasConcept C152124472 @default.
- W2942933022 hasConcept C154945302 @default.
- W2942933022 hasConcept C41008148 @default.
- W2942933022 hasConcept C73555534 @default.
- W2942933022 hasConceptScore W2942933022C111919701 @default.
- W2942933022 hasConceptScore W2942933022C124101348 @default.
- W2942933022 hasConceptScore W2942933022C152124472 @default.
- W2942933022 hasConceptScore W2942933022C154945302 @default.
- W2942933022 hasConceptScore W2942933022C41008148 @default.
- W2942933022 hasConceptScore W2942933022C73555534 @default.
- W2942933022 hasLocation W29429330221 @default.
- W2942933022 hasOpenAccess W2942933022 @default.
- W2942933022 hasPrimaryLocation W29429330221 @default.
- W2942933022 hasRelatedWork W1488691140 @default.
- W2942933022 hasRelatedWork W1543210123 @default.
- W2942933022 hasRelatedWork W1582475268 @default.
- W2942933022 hasRelatedWork W1937110162 @default.
- W2942933022 hasRelatedWork W1981263080 @default.
- W2942933022 hasRelatedWork W1982802563 @default.
- W2942933022 hasRelatedWork W2007082116 @default.
- W2942933022 hasRelatedWork W2110555465 @default.
- W2942933022 hasRelatedWork W2118383286 @default.
- W2942933022 hasRelatedWork W2133512747 @default.
- W2942933022 hasRelatedWork W2137919588 @default.
- W2942933022 hasRelatedWork W2148757172 @default.
- W2942933022 hasRelatedWork W2162331874 @default.
- W2942933022 hasRelatedWork W2547935033 @default.
- W2942933022 hasRelatedWork W2596358311 @default.
- W2942933022 hasRelatedWork W2610664316 @default.
- W2942933022 hasRelatedWork W2726938673 @default.
- W2942933022 hasRelatedWork W2902450182 @default.
- W2942933022 hasRelatedWork W2902601532 @default.
- W2942933022 hasRelatedWork W2463383673 @default.
- W2942933022 isParatext "false" @default.
- W2942933022 isRetracted "false" @default.
- W2942933022 magId "2942933022" @default.
- W2942933022 workType "article" @default.