Article ID Journal Published Year Pages File Type
174047 Computers & Chemical Engineering 2007 9 Pages PDF
Abstract

We describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control variables must be manipulated over time to optimize the outcome, which is obtained by solving a set of differential equations for the state variables. A problem-specific technique, progressive step reduction (PSR), is shown to considerably improve the efficiency of the algorithm for this application. Factorial experimentation and rigorous statistical analysis are used to determine the effects of PSR and tune the parameters of the algorithm.

Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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