The overall aim of the project is to develop two new decision-support instruments to be used by policy makers when choosing their optimal strategies for designing economic and financial policy. The first instrument is based on classical optimization methods and providesa solution to an optimal control problem in a system with rational expectation using an active learning strategy. The second proposed instrument uses a heuristic optimization method and allows handling different limitations, which are very difficult or impossibleto consider in “classical” solution algorithms. Along theoretical research, an important focus is put on ‘real-world’ applications of the new frameworks. Each of the aims consists of two parts, namely methodological development of the algorithms combined with implementation in MATLAB and empirical work.