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...

Full description

Bibliographic Details

Published in:	Computers & chemical engineering Vol. 27; no. 12; pp. 1785 - 1800
Main Authors:	Kasat, Rahul B., Gupta, Santosh K.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.12.2003
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!