this study focused on the optimization of al—mg to cuzn34 friction stir lap welding (fslw) process for optimal combination of rotational and traverse speeds in order to yield favorable fracture load using grey relational analysis (gra). first, the degree of freedom was calculated for the system. then, the experiments based on the target values and number of considered levels, corresponding orth...

This study proposes a novel modified grey-wolf optimization algorithm (MGWOA) to enhance power system stability. The stabilizer and static synchronous series compensator (SSSC) are used as damping controllers. Additionally, fractional-order PID (FOPID) controller is handle the nonlinearities thus achieve better performance. control parameters tuned using proposed MGWOA method which has been ver...

Grey wolf optimization (GWO) is a recent and popular swarm-based metaheuristic approach. It has been used in numerous fields such as numerical optimization, engineering problems, machine learning. The different variants of GWO have developed the last 5 years for solving problems diverse fields. Like other algorithms, also suffers from local optima slow convergence resulted degraded performance....

Over the last few years, Convolution Neural Networks (CNN) have shown dominant performance over real world applications due to their ability find good solutions and deal with image data. However is highly dependent on network architecture methods for optimizing hyper parameters especially number size of filters. Designing a CNN requires human expertise domain knowledge. So, it difficult in suff...