Parallel genetic algorithm fitness function team for eigenstructure assignment via LQR designs

Abstract

The article discusses the development of a strategy based on a fitness function team exploration for a parallel genetic algorithm and its application to eigenstructure assignment via LQR design of a dynamical system. A multiobjective optimization based strategy and a decision making framework are formulated in terms of schema theorem and multi armed bandit problem. An aircraft state space model is used to illustrate the algorithm performance, whose purpose is to find a state feedback controller that leads to a specified eigenstructure assignment.