Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm (GA) with the jumping genes operator

The multi-objective optimization of industrial operations using genetic algorithm and its variants, often requires inordinately large amounts of computational (CPU) time. Any adaptation to speed up the solution procedure is, thus, desirable. An adaptation is developed in this study that is inspired...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers & chemical engineering Jg. 27; H. 12; S. 1785 - 1800
Hauptverfasser:	Kasat, Rahul B., Gupta, Santosh K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.12.2003
Schlagworte:	FCC units Fluidized-bed catalytic crackers Genetic algorithm Jumping genes Multi-objective function optimization Pareto sets Transposons Pareto sets FCC units Transposons Genetic algorithm Multi-objective function optimization Jumping genes Fluidized-bed catalytic crackers
ISSN:	0098-1354, 1873-4375
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!