TYPE V Chemical Process Systems Modelling

Of the three evolutionary techniques, genetic algorithms are by far the most commonly applied in chemical engineering. However, genetic 

In a more recent study, Hinchliffe and Willis (2003) model dynamic systems using genetic programming. The new approach is evaluated using two case studies, a test system with a time delay and an industrial cooking extruder. The objectives minimized are the root mean square error and the correlation and autocorrelations between residuals. The residuals of a model represent the difference between the predicted and actual values of the process output. In this work, two MOGPs are compared, one based on Pareto ranking but without preferences, and 

---