Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022205968> ?p ?o ?g. }
- W2022205968 endingPage "121" @default.
- W2022205968 startingPage "110" @default.
- W2022205968 abstract "Particle swarm optimization is a novel evolutionary stochastic global optimization method that has gained popularity in the chemical engineering community. This optimization strategy has been successfully used for several applications including thermodynamic calculations. To the best of our knowledge, the performance of PSO in phase stability and equilibrium calculations for both multicomponent reactive and non-reactive mixtures has not yet been reported. This study introduces the application of particle swarm optimization and several of its variants for solving phase stability and equilibrium problems in multicomponent systems with or without chemical equilibrium. The reliability and efficiency of a number of particle swarm optimization algorithms are tested and compared using multicomponent systems with vapor–liquid and liquid–liquid equilibrium. Our results indicate that the classical particle swarm optimization with constant cognitive and social parameters is a reliable method and offers the best performance for global minimization of the tangent plane distance function and the Gibbs energy function in both reactive and non-reactive systems." @default.
- W2022205968 created "2016-06-24" @default.
- W2022205968 creator A5054428960 @default.
- W2022205968 creator A5065093716 @default.
- W2022205968 date "2010-03-01" @default.
- W2022205968 modified "2023-10-17" @default.
- W2022205968 title "A comparative study of particle swarm optimization and its variants for phase stability and equilibrium calculations in multicomponent reactive and non-reactive systems" @default.
- W2022205968 cites W1577668191 @default.
- W2022205968 cites W1970371473 @default.
- W2022205968 cites W1972299310 @default.
- W2022205968 cites W1973744716 @default.
- W2022205968 cites W1974935510 @default.
- W2022205968 cites W1983556928 @default.
- W2022205968 cites W1990706163 @default.
- W2022205968 cites W1994606251 @default.
- W2022205968 cites W1997388090 @default.
- W2022205968 cites W2002440964 @default.
- W2022205968 cites W2008642076 @default.
- W2022205968 cites W2014571059 @default.
- W2022205968 cites W2021193704 @default.
- W2022205968 cites W2023120921 @default.
- W2022205968 cites W2025414364 @default.
- W2022205968 cites W2029510805 @default.
- W2022205968 cites W2032375223 @default.
- W2022205968 cites W2035593843 @default.
- W2022205968 cites W2035790390 @default.
- W2022205968 cites W2036117816 @default.
- W2022205968 cites W2038532190 @default.
- W2022205968 cites W2040516887 @default.
- W2022205968 cites W2041048716 @default.
- W2022205968 cites W2042842261 @default.
- W2022205968 cites W2043555466 @default.
- W2022205968 cites W2045338651 @default.
- W2022205968 cites W2061586430 @default.
- W2022205968 cites W2063778532 @default.
- W2022205968 cites W2071192905 @default.
- W2022205968 cites W2071423940 @default.
- W2022205968 cites W2075049007 @default.
- W2022205968 cites W2100064198 @default.
- W2022205968 cites W2108270451 @default.
- W2022205968 cites W2128551015 @default.
- W2022205968 cites W2133378653 @default.
- W2022205968 cites W2136610504 @default.
- W2022205968 cites W2137901089 @default.
- W2022205968 cites W2143392689 @default.
- W2022205968 cites W2149454052 @default.
- W2022205968 cites W2156784915 @default.
- W2022205968 cites W2161304163 @default.
- W2022205968 cites W2169245194 @default.
- W2022205968 cites W2950373450 @default.
- W2022205968 cites W4239114992 @default.
- W2022205968 doi "https://doi.org/10.1016/j.fluid.2009.11.008" @default.
- W2022205968 hasPublicationYear "2010" @default.
- W2022205968 type Work @default.
- W2022205968 sameAs 2022205968 @default.
- W2022205968 citedByCount "46" @default.
- W2022205968 countsByYear W20222059682012 @default.
- W2022205968 countsByYear W20222059682013 @default.
- W2022205968 countsByYear W20222059682014 @default.
- W2022205968 countsByYear W20222059682015 @default.
- W2022205968 countsByYear W20222059682016 @default.
- W2022205968 countsByYear W20222059682017 @default.
- W2022205968 countsByYear W20222059682018 @default.
- W2022205968 countsByYear W20222059682019 @default.
- W2022205968 countsByYear W20222059682020 @default.
- W2022205968 countsByYear W20222059682021 @default.
- W2022205968 countsByYear W20222059682023 @default.
- W2022205968 crossrefType "journal-article" @default.
- W2022205968 hasAuthorship W2022205968A5054428960 @default.
- W2022205968 hasAuthorship W2022205968A5065093716 @default.
- W2022205968 hasConcept C109718341 @default.
- W2022205968 hasConcept C112972136 @default.
- W2022205968 hasConcept C119857082 @default.
- W2022205968 hasConcept C121332964 @default.
- W2022205968 hasConcept C122357587 @default.
- W2022205968 hasConcept C126255220 @default.
- W2022205968 hasConcept C146477669 @default.
- W2022205968 hasConcept C164752517 @default.
- W2022205968 hasConcept C185592680 @default.
- W2022205968 hasConcept C194387892 @default.
- W2022205968 hasConcept C33923547 @default.
- W2022205968 hasConcept C41008148 @default.
- W2022205968 hasConcept C85617194 @default.
- W2022205968 hasConcept C97355855 @default.
- W2022205968 hasConceptScore W2022205968C109718341 @default.
- W2022205968 hasConceptScore W2022205968C112972136 @default.
- W2022205968 hasConceptScore W2022205968C119857082 @default.
- W2022205968 hasConceptScore W2022205968C121332964 @default.
- W2022205968 hasConceptScore W2022205968C122357587 @default.
- W2022205968 hasConceptScore W2022205968C126255220 @default.
- W2022205968 hasConceptScore W2022205968C146477669 @default.
- W2022205968 hasConceptScore W2022205968C164752517 @default.
- W2022205968 hasConceptScore W2022205968C185592680 @default.
- W2022205968 hasConceptScore W2022205968C194387892 @default.
- W2022205968 hasConceptScore W2022205968C33923547 @default.
- W2022205968 hasConceptScore W2022205968C41008148 @default.
- W2022205968 hasConceptScore W2022205968C85617194 @default.
- W2022205968 hasConceptScore W2022205968C97355855 @default.