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|Title:||Multi-objective design optimization of an industrial LDPE tubular reactor using jumping gene adaptations of NSGA and constraint handling principle|
|Source:||Agrawal, N.,Rangaiah, G.P.,Ray, A.K.,Gupta, S.K. (2006). Multi-objective design optimization of an industrial LDPE tubular reactor using jumping gene adaptations of NSGA and constraint handling principle. AIChE Annual Meeting, Conference Proceedings : -. ScholarBank@NUS Repository.|
|Abstract:||Multi-objective optimization of an industrial low-density polyethylene (LDPE) tubular reactor is carried out at design stage with the following objectives: maximization of monomer conversion and minimization of normalized side products (methyl, vinyl, and vinylidene groups), both at the reactor end, with end-point constraint on number-average molecular weight (Mn,f) in the product. An inequality constraint is also imposed on reactor temperature to avoid run-away condition in the tubular reactor. The binary-coded elitist non-dominated sorting genetic algorithm (NSGA-II) and its jumping gene (JG) adaptations are used to solve the optimization problem. Both the equality and inequality constraints are handled by penalty functions. Only sub-optimal solutions are obtained when the equality end-point constraint on Mn,f is imposed. But, correct global optimal solutions can be assembled from among the Pareto-optimal sets of several problems involving a softer constraint on Mn,f. A systematic approach of constrained-dominance principle for handling constraints is applied for the first time in the binary-coded NSGA-II-aJG and NSGA-II-JG, and its performance is compared to the penalty function approach.|
|Source Title:||AIChE Annual Meeting, Conference Proceedings|
|Appears in Collections:||Staff Publications|
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