Evolutionary algorithms in control systems engineering

Abstract

This paper introduces the session describing the state-of-the-art in the application of evolutionary computation in control system engineering. Evolutionary methods such as genetic algorithms (GAs) and genetic programming (GP) are particularly suitable in problems for which conventional optimizers are inefficient or inappropriate, rather than simply as an alternative to conventional optimization. This session will be of interest to the control engineering community as a whole, and will provide an educational background to those not familiar with these methods as well as presenting new results and applications.