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

Jose Fernando Cuadros Bohorquez,Laura Plazas Tovar,Maria Regina Wolf Maciel,Delba N.C. Melo,Rubens Maciel Filho

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

2019

Jose Fernando Cuadros Bohorquez
Laura Plazas Tovar
Maria Regina Wolf Maciel
Delba N.C. Melo
Rubens Maciel Filho

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

Keywords:

Inorganic chemistry
Operational Problem
Fluid catalytic cracking
Genetic algorithm
Mathematical optimization
Chemistry
Surrogate model
Particle swarm optimization
Stochastic optimization
Multi-objective optimization

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