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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.
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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  Data: <searchLink fieldCode="JN" term="%22Chemical+Engineering+Communications%22">Chemical Engineering Communications</searchLink>. 2020, Vol. 207 Issue 5, p612-631. 20p. 4 Diagrams, 3 Charts, 3 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=142336465
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        Value: 10.1080/00986445.2019.1613230
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        Text: English
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        PageCount: 20
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            NameFull: Plazas Tovar, Laura
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            NameFull: Wolf Maciel, Maria Regina
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              Text: 2020
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