Soft sensor development using genetic programming

Abstract

A novel methodology for development of soft sensors based on sensitivity analysis and function generation by genetic programming is proposed. The main advantages of this type of soft sensor are their good generalization capabilities, explicit input/output relationships, and low implementation and maintenance cost. An example of a soft sensor generated by genetic programming in an industrial application in The Dow Chemical Company is given.