Multi-objective optimization of polyethylene terephthalate (PET) reactor using Hybrid Multi-objective Differential Evolution
نویسندگان
چکیده
In this study a hybrid strategy of multi-objective differential algorithm (MODE) is used successfully on an industrial problem. The hybrid strategy consists of hybridization of deterministic local search method with the evolutionary algorithm The developed algorithm is also applied successfully on multi-objective optimization of industrial polyethylene terephthalate (PET) rector. The ODE23s subroutine of Matlab (version 7.0) (ode23s is based on a modified Rosenbrock formula of order 2) is used to simulate and integrate mathematical model of PET reactor. The model is validated with the industrial data from the literature. It is observed that hybrid MODE algorithm converge to the true optimal solutions at much faster rate and gives same number of solutions as considered in the initial generation. Pareto optimal solutions (which is a set of equally good solutions) is obtained for the objectives studied (i.e. minimization of acid end group and the vinyl end group). The results of such study are in general useful to the plant engineer.
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