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...

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Vydáno v:	Computers & chemical engineering Ročník 27; číslo 12; s. 1785 - 1800
Hlavní autoři:	Kasat, Rahul B., Gupta, Santosh K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.12.2003
Témata:	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
On-line přístup:	Získat plný text
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