Auto-tuning is a popular approach to program optimization: it automatically finds good configurations of program’s so-called tuning parameters whose values are crucial for achieving high performance particular parallel architecture and characteristics input/output data. We present three new contributions the Auto-Tuning Framework (ATF), which enable key advantage in general-purpose auto-tuning ...

In this paper, hysteretic behavior modeling, system identification and control of a mechanism that is actuated by shape memory alloy (SMA) wires are presented. The mechanism consists of two airfoil plates and the rotation angle between these plates can be changed by SMA wire actuators. This mechanism is used to identify the unknown parameters of a hysteresis model. Prandtl–Ishlinskii method is ...

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...