Article
Applications of the Non-Dominated Sorting Genetic Algorithm (NSGA) in Chemical Reaction Engineering
International Journal of Chemical Reactor Engineering
(2008)
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.
Keywords
- Multiobjective optimization,
- Pareto,
- Reactors,
- Modeling,
- Simulation
Publication Date
March 26, 2008
Citation Information
Anjana D Nandasana, Ajay Kumar Ray and Santosh K. Gupta. "Applications of the Non-Dominated Sorting Genetic Algorithm (NSGA) in Chemical Reaction Engineering" International Journal of Chemical Reactor Engineering Vol. 1 (2008) Available at: http://works.bepress.com/ajay_ray/5/