Hardware Implementation of the Fast Optimization Method eDEAS

In this paper, we propose a technique to implement dynamic encoding algorithm for searches (DEAS) algorithm for various optimization problems with hardware description language. This algorithm was shown to yield good results in solving optimization problems, for example, parameter identification of an induction motor, trajectory generation of the biped robot and so on. We newly implement DEAS into hardware intellectual property (IP) which can be reconstructive on various hardware platforms. Optimization performance of the proposed hardware is validated through finding global solution of test functions in simulation.