Surrogate-model-based, particle swarm optimization, and genetic algorithm techniques applied to the multiobjective operational problem of the fluid catalytic cracking process.
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| Title: | Surrogate-model-based, particle swarm optimization, and genetic algorithm techniques applied to the multiobjective operational problem of the fluid catalytic cracking process. |
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| Authors: | F. Cuadros Bohorquez, José1 (AUTHOR) josefcuadros.unicamp@outlook.com, Plazas Tovar, Laura2 (AUTHOR), Wolf Maciel, Maria Regina1 (AUTHOR), C. Melo, Delba1 (AUTHOR), Maciel Filho, Rubens1 (AUTHOR) |
| Source: | Chemical Engineering Communications. 2020, Vol. 207 Issue 5, p612-631. 20p. 4 Diagrams, 3 Charts, 3 Graphs. |
| Database: | Academic Search Ultimate |
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| ISSN: | 00986445 |
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| DOI: | 10.1080/00986445.2019.1613230 |
