Multicriteria Control System Design Using An Intelligent Evolution Strategy With Dynamical Constraints Boundaries

This paper represents a multivariable controller design methodology which is based on the solution of the multiobjective optimization problem using a multiobjective evolution strategy with dynamical constraints boundaries. The evolution strategy allows to handle simultaneously all the types of multiple design objectives and constraints (hard and soft), and to achieve the good approximation of the complete tradeoff set between the design objectives while satisfying all the given constraints. This evolution strategy is implemented in the MATLAB-based environment and it can be used to solve many optimization problems (Binh et al., 1996)