This study investigates a hybrid algorithm between Grey Wolf Optimization (GWO) and Cuckoo Search (CS) algorithms to find the parameters of induction motors. The motor have been estimated by using data supplied manufacturer. problem for parameter estimation is formulated as an optimization problem. Then, solved GWO based on CS parameters. Numerical results show that both are capable solving fin...

Harmonics worsen the quality of electrical signals, hence, there is a need to eliminate them. The test objects under discussion are single-phase versions cascaded H-bridge (CHB) multilevel inverters (MLIs) whose switching angles optimized specific harmonics. Dragonfly Algorithm (DA) used eradicate low-order harmonics, and its statistical performance compared that many other optimization techniq...

The COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed be as reliable possible. present paper aims optimize design of a plant through reliability allocation heterogeneous components under constraints. problem is solved by resorting three nature-inspired algorithms artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping ...

A partial shading condition (PSC) is one of the most common problems in photovoltaic (PV) system. It causes output power a PV system drastically decrease. Meta-heuristic algorithms (MHA) can track maximum point power-voltage curve with multiple peaks. Grey wolf optimization (GWO) algorithm new based on MHA. has been used to solve many applications including MPPT for However, accuracy and tracki...

Active power losses have the potential to affect distribution of flows along transmission lines as well mix energy used throughout networks. Grey wolf optimization algorithms (GWOs) are in electrical systems reduce active losses. GWOs straightforward implement because their simple structure, low storage and computing needs, quicker convergence from constant decrease search space. The system may...