Matches in SemOpenAlex for { <https://semopenalex.org/work/W2171406217> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2171406217 abstract "The widespread use of distributed systems (DS) over the centralized systems can be attributed partially to its potential to enhance system reliability. In the reliability analysis of a DS, S-node Reliability (SNR) is defined as the probabilities that all nodes in S (a subset of all processing elements) are connected. SNR optimization for the distributed systems Exact Method (EM) has received only limited attention owing to the fact that computing reliability of DS is in general an NP-hard problem. Genetic Algorithms (GA) are search techniques for global optimization in a complex search space. GA can be applied to search a large, multimodel, complex problem spaces. Thus, there is a good potential to obtain optimal and near optimal results using GA for network reliability problem. In this work, we attempt to reduce computational time and complexity by presenting a method based on a Genetic Algorithm S-Node set Reliability Methodology (GASNR) to optimize a specified object function under a given capacity constraint. The versatility of genetic algorithms is illustrated by applying them to solve the S-node set reliability problem. Using GASNR to find the best S-node sets. Because the final number of best S-node sets is only one, we just take less time to compute the reliability using SYREL. In addition, the proposed algorithm is compared with the existing one for various topologies. Those results demonstrate that for a large DS, the proposed algorithm is more efficient in execution time." @default.
- W2171406217 created "2016-06-24" @default.
- W2171406217 creator A5012668549 @default.
- W2171406217 creator A5020510366 @default.
- W2171406217 creator A5023330066 @default.
- W2171406217 date "2002-11-27" @default.
- W2171406217 modified "2023-09-27" @default.
- W2171406217 title "A genetic algorithm for the reliability optimization of a distributed system" @default.
- W2171406217 cites W1692686251 @default.
- W2171406217 cites W1966158183 @default.
- W2171406217 cites W1998456004 @default.
- W2171406217 cites W2027833666 @default.
- W2171406217 cites W2052438810 @default.
- W2171406217 cites W2053823121 @default.
- W2171406217 cites W2068878490 @default.
- W2171406217 cites W2093645406 @default.
- W2171406217 cites W2129239342 @default.
- W2171406217 cites W2161232116 @default.
- W2171406217 doi "https://doi.org/10.1109/dexa.1998.707444" @default.
- W2171406217 hasPublicationYear "2002" @default.
- W2171406217 type Work @default.
- W2171406217 sameAs 2171406217 @default.
- W2171406217 citedByCount "4" @default.
- W2171406217 countsByYear W21714062172012 @default.
- W2171406217 countsByYear W21714062172014 @default.
- W2171406217 countsByYear W21714062172018 @default.
- W2171406217 crossrefType "proceedings-article" @default.
- W2171406217 hasAuthorship W2171406217A5012668549 @default.
- W2171406217 hasAuthorship W2171406217A5020510366 @default.
- W2171406217 hasAuthorship W2171406217A5023330066 @default.
- W2171406217 hasConcept C111919701 @default.
- W2171406217 hasConcept C11413529 @default.
- W2171406217 hasConcept C119857082 @default.
- W2171406217 hasConcept C121332964 @default.
- W2171406217 hasConcept C126255220 @default.
- W2171406217 hasConcept C127413603 @default.
- W2171406217 hasConcept C137836250 @default.
- W2171406217 hasConcept C163258240 @default.
- W2171406217 hasConcept C177264268 @default.
- W2171406217 hasConcept C179799912 @default.
- W2171406217 hasConcept C199360897 @default.
- W2171406217 hasConcept C199845137 @default.
- W2171406217 hasConcept C2524010 @default.
- W2171406217 hasConcept C2776036281 @default.
- W2171406217 hasConcept C33923547 @default.
- W2171406217 hasConcept C41008148 @default.
- W2171406217 hasConcept C43214815 @default.
- W2171406217 hasConcept C62520636 @default.
- W2171406217 hasConcept C62611344 @default.
- W2171406217 hasConcept C66938386 @default.
- W2171406217 hasConcept C8880873 @default.
- W2171406217 hasConceptScore W2171406217C111919701 @default.
- W2171406217 hasConceptScore W2171406217C11413529 @default.
- W2171406217 hasConceptScore W2171406217C119857082 @default.
- W2171406217 hasConceptScore W2171406217C121332964 @default.
- W2171406217 hasConceptScore W2171406217C126255220 @default.
- W2171406217 hasConceptScore W2171406217C127413603 @default.
- W2171406217 hasConceptScore W2171406217C137836250 @default.
- W2171406217 hasConceptScore W2171406217C163258240 @default.
- W2171406217 hasConceptScore W2171406217C177264268 @default.
- W2171406217 hasConceptScore W2171406217C179799912 @default.
- W2171406217 hasConceptScore W2171406217C199360897 @default.
- W2171406217 hasConceptScore W2171406217C199845137 @default.
- W2171406217 hasConceptScore W2171406217C2524010 @default.
- W2171406217 hasConceptScore W2171406217C2776036281 @default.
- W2171406217 hasConceptScore W2171406217C33923547 @default.
- W2171406217 hasConceptScore W2171406217C41008148 @default.
- W2171406217 hasConceptScore W2171406217C43214815 @default.
- W2171406217 hasConceptScore W2171406217C62520636 @default.
- W2171406217 hasConceptScore W2171406217C62611344 @default.
- W2171406217 hasConceptScore W2171406217C66938386 @default.
- W2171406217 hasConceptScore W2171406217C8880873 @default.
- W2171406217 hasLocation W21714062171 @default.
- W2171406217 hasOpenAccess W2171406217 @default.
- W2171406217 hasPrimaryLocation W21714062171 @default.
- W2171406217 hasRelatedWork W1594942740 @default.
- W2171406217 hasRelatedWork W1986499012 @default.
- W2171406217 hasRelatedWork W1995813274 @default.
- W2171406217 hasRelatedWork W2018990633 @default.
- W2171406217 hasRelatedWork W2032345722 @default.
- W2171406217 hasRelatedWork W2051048931 @default.
- W2171406217 hasRelatedWork W2065136397 @default.
- W2171406217 hasRelatedWork W2071641987 @default.
- W2171406217 hasRelatedWork W2071808953 @default.
- W2171406217 hasRelatedWork W2116568339 @default.
- W2171406217 hasRelatedWork W2138135987 @default.
- W2171406217 hasRelatedWork W2156366125 @default.
- W2171406217 hasRelatedWork W2168091626 @default.
- W2171406217 hasRelatedWork W2332815044 @default.
- W2171406217 hasRelatedWork W2546972438 @default.
- W2171406217 hasRelatedWork W2570745209 @default.
- W2171406217 hasRelatedWork W2962970367 @default.
- W2171406217 hasRelatedWork W2966240254 @default.
- W2171406217 hasRelatedWork W3124537911 @default.
- W2171406217 hasRelatedWork W3152116764 @default.
- W2171406217 isParatext "false" @default.
- W2171406217 isRetracted "false" @default.
- W2171406217 magId "2171406217" @default.
- W2171406217 workType "article" @default.