On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations
The search for reliable and efficient global optimization algorithms for solving phase stability and phase equilibrium problems in applied thermodynamics is an ongoing area of research. In this study, we evaluated and compared the reliability and efficiency of eight selected nature-inspired metaheur...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/374510 |
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| author | Seif-Eddeen K. Fateen Adrian Bonilla-Petriciolet |
| author_facet | Seif-Eddeen K. Fateen Adrian Bonilla-Petriciolet |
| author_sort | Seif-Eddeen K. Fateen |
| collection | DOAJ |
| description | The search for reliable and efficient global optimization algorithms for solving phase stability and phase equilibrium problems in applied thermodynamics is an ongoing area of research. In this study, we evaluated and compared the reliability and efficiency of eight selected nature-inspired metaheuristic algorithms for solving difficult phase stability and phase equilibrium problems. These algorithms are the cuckoo search (CS), intelligent firefly (IFA), bat (BA), artificial bee colony (ABC), MAKHA, a hybrid between monkey algorithm and krill herd algorithm, covariance matrix adaptation evolution strategy (CMAES), magnetic charged system search (MCSS), and bare bones particle swarm optimization (BBPSO). The results clearly showed that CS is the most reliable of all methods as it successfully solved all thermodynamic problems tested in this study. CS proved to be a promising nature-inspired optimization method to perform applied thermodynamic calculations for process design. |
| format | Article |
| id | doaj-art-a2b305ad7f4341cb99f58e3fb563cf05 |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-a2b305ad7f4341cb99f58e3fb563cf052025-08-20T02:20:37ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/374510374510On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic CalculationsSeif-Eddeen K. Fateen0Adrian Bonilla-Petriciolet1Department of Chemical Engineering, Cairo University, Giza 12316, EgyptDepartment of Chemical Engineering, Aguascalientes Institute of Technology, 20256 Aguascalientes, AGS, MexicoThe search for reliable and efficient global optimization algorithms for solving phase stability and phase equilibrium problems in applied thermodynamics is an ongoing area of research. In this study, we evaluated and compared the reliability and efficiency of eight selected nature-inspired metaheuristic algorithms for solving difficult phase stability and phase equilibrium problems. These algorithms are the cuckoo search (CS), intelligent firefly (IFA), bat (BA), artificial bee colony (ABC), MAKHA, a hybrid between monkey algorithm and krill herd algorithm, covariance matrix adaptation evolution strategy (CMAES), magnetic charged system search (MCSS), and bare bones particle swarm optimization (BBPSO). The results clearly showed that CS is the most reliable of all methods as it successfully solved all thermodynamic problems tested in this study. CS proved to be a promising nature-inspired optimization method to perform applied thermodynamic calculations for process design.http://dx.doi.org/10.1155/2014/374510 |
| spellingShingle | Seif-Eddeen K. Fateen Adrian Bonilla-Petriciolet On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations The Scientific World Journal |
| title | On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations |
| title_full | On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations |
| title_fullStr | On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations |
| title_full_unstemmed | On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations |
| title_short | On the Effectiveness of Nature-Inspired Metaheuristic Algorithms for Performing Phase Equilibrium Thermodynamic Calculations |
| title_sort | on the effectiveness of nature inspired metaheuristic algorithms for performing phase equilibrium thermodynamic calculations |
| url | http://dx.doi.org/10.1155/2014/374510 |
| work_keys_str_mv | AT seifeddeenkfateen ontheeffectivenessofnatureinspiredmetaheuristicalgorithmsforperformingphaseequilibriumthermodynamiccalculations AT adrianbonillapetriciolet ontheeffectivenessofnatureinspiredmetaheuristicalgorithmsforperformingphaseequilibriumthermodynamiccalculations |