Damping of inter-area electromechanical oscillations is one of the major challenges to the electric power system operators. This paper presents Gravitational Search Algorithm (GSA) for tuning Static Synchronous Series Compensator (SSSC) based damping controller to improve power system oscillation stability. In the proposed algorithm, the searcher agents are a collection of masses which interact...

Wireless Sensor Networks (WSNs) are networks of autonomous nodes used for monitoring an environment. In designing WSNs, one of the main issues is limited energy source for each sensor node. Hence, offering ways to optimize energy consumption in WSNs which eventually increases the network lifetime is strongly felt. Gravitational Search Algorithm (GSA) is a novel stochastic population-based meta-...

Gravitational search algorithm (GSA) is one of the metaheuristic algorithms that has been popularly implemented in solving various optimization problems. The could perform better highly nonlinear and complex However, GSA also reported to have a weak local ability slow searching speed achieve its convergence. This research proposes two new parameters order improve GSA’s convergence strategy by i...

Gravitational-wave detection strategies are based on a signal analysis technique known as matched filtering. Despite the success of filtering, due to its computational cost, there has been recent interest in developing deep convolutional neural networks (CNNs) for detection. Designing these remains challenge most procedures adopt trial and error strategy set hyperparameter values. We propose ne...