Applications of the non-dominated sorting genetic algorithm (NSGA) in chemical reaction engineering

Nandasana, Anjana D. ; Ray, Ajay Kumar ; Gupta, Santosh K. (2003) Applications of the non-dominated sorting genetic algorithm (NSGA) in chemical reaction engineering International Journal of Chemical Reactor Engineering, 1 . No pp. given. ISSN 1542-6580

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Official URL: http://www.bepress.com/ijcre/vol1/R2/

Abstract

Most of the chemical reaction engineering optimization problems encounters more than one objective functions. A considerable amount of research has been reported on the multiobjective optimization of various chemical reactors using various non-dominated sorting genetic algorithms. This is reviewed in this paper. The introduction of the topic is given at the beginning, followed by the description of multi-objective optimization and Pareto set. We have then discussed various non-dominated sorting genetic algorithms and its applications in chemical reaction engineering. Some comments are also made on the future research direction in this area.

Item Type:Article
Source:Copyright of this article belongs to Berkeley Electronic Press.
Keywords:Multiobjective Optimisation; Pareto; Reactors; Modelling; Simulation
ID Code:14184
Deposited On:12 Nov 2010 08:55
Last Modified:16 May 2016 23:12

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