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...

Dual-ball-screw feed drive systems (DBSFDSs) are designed for most high-end manufacturing equipment. However, the mismatch between dynamic characteristic parameters (e.g., stiffness and inertia) P-PI cascade control method reduces accuracy of DBSFDSs owing to structural changes in motion. Moreover, controller always same even though two axes have different characteristics, it is difficult tune ...

This study introduces an effective population-based optimization algorithm, namely the Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new algorithm has a simple but strategy solving complex problems. GSO starts with random possible solutions called objects, which interact each other based on mathematical model to reach global optimum. To provide fine balanc...

Many swarm optimization algorithms have been introduced since the early 60's, Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms have demonstrated their potential to solve many optimization problems. This paper provides an in-depth survey of well-known optimization algorithms. Selected algorithms are briefly explained and compared with each other compre...