Investigation on evolutionary predictive control of chemical reactor

Abstract

This paper discusses predictive control of chemical reactor by means of evolutionary algorithm named SOMA – the Self-Organizing Migrating Algorithm, that can be classified as swarm intelligence or memetic algorithm. The SOMA algorithm was used for multiple input–multiple output control of reactor model after static optimization. The MIMO control was defined for 5 inputs and 2 outputs with total number of 12 unknown variables. This paper is based on simulation results from optimization of static parameters that has been used to set up reactor for its evolutionary control.