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Process Modeling And Optimization Strategies Integrating Neural Networks And Differential Evolution, Nadeem Muhammed Khalfe

Nadeem Khalfe

This article presents an artificial intelligence-based process modeling and optimization strategy, namely artificial neural networks—differential evolution (ANN-DE) for modeling and optimizing catalytic industrial ethylene oxide (EO) reactors. In the ANN-DE approach, an artificial neural network model is constructed for correlating process data comprising values of operating and performance variables. Next, model inputs describing process operating variables are optimized using DEs with a view to maximizing the process performance. The DE possesses certain unique advantages over the commonly used gradient-based deterministic optimization algorithms. The ANN-DE is a new strategy for chemical process modeling and optimization. The major advantage of the strategy …