Surrogate-model-based, particle swarm optimization, and genetic algorithm techniques applied to the multiobjective operational problem of the fluid catalytic cracking process,Chemical Engineering Communications

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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
Chemical Engineering Communications ( IF 1.9 ) Pub Date : 2019-05-28 , DOI: 10.1080/00986445.2019.1613230
José F. Cuadros Bohorquez ₁ , Laura Plazas Tovar ₂ , Maria Regina Wolf Maciel ₁ , Delba C. Melo ₁ , Rubens Maciel Filho ₁

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AbstractThis article provides a concise multiobjective optimization methodology for an industrial fluid catalytic cracking unit (FCCU) considering stochastic optimization techniques, genetic algori...

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