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.
The International Journal of Chemical Reactor Engineering covers the broad fields of theoretical and applied reactor engineering. The
IJCRE covers topics drawn from the substantial areas of overlap between catalysis, reaction and reactor engineering. Authors include notable international professors and R&D industry leaders.