"Development of computational intelligence methods for system optimization and control"

The purpose of this PhD Thesis is to develop algorithms based on computational intelligence with application in optimization and automatic control of complex and non-linear systems. The development of high-accuracy models using neural network and machine learning methods, as well as multi-objective optimization techniques using evolutionary computation and swarm intelligence methodologies is of high priority. As far as automatic control is concerned, special importance is placed on model predictive control, where new, optimized methodologies will be applied to develop distributed controllers based on neural network prediction models and evolutionary computation methods.