This paper deals with automatic generation control of multi area power system using a Fuzzy PID controller. The controller parameters are optimized by Grey Wolf Optimizer (GWO) algorithm. Initially, Hydro-Thermal-Gas two area power systems is considered and superiority of the proposed controller is verified by comparing the results with GWO optimized classical PID controller as well as recently...

The optimal performance of a wireless mesh network (WMN) can be greatly improved by strategically placing routers. As result, it is crucial to optimally locate the WMN routers for better coverage and connectivity. Besides placement, congestion due overlaying has taken into consideration. These issues have become motivation researchers identify variety approaches optimize performance. Multiple m...

Optimization is the science that presents a solution among available solutions considering an optimization problem’s limitations. algorithms have been introduced as efficient tools for solving problems. These are designed based on various natural phenomena, behavior, lifestyle of living beings, physical laws, rules games, etc. In this paper, new algorithm called good and bad groups-based optimi...

The Controlled Source Audio-frequency Magnetotellurics (CSAMT) is a geophysical method utilizing artificial electromagnetic signal source to estimate subsurface resistivity structures. One-dimensional (1D) inversion modelling of CSAMT data non-linear and the solution can be estimated by using global optimization algorithms. Particle Swarm Optimization (PSO) Grey Wolf Optimizer (GWO) are well-kn...

Energy use of sensor nodes efficiently and extending the lifetime heterogeneous wireless networks (HWSNs) is a main goal HWSNs routing optimization methods, therefore building an energy-efficient protocol becomes critical for HWSN performance improvement. They present based on grey wolf optimizer (GWO) Tabu search algorithm (TSA) in this paper. Proposed system with primary objectives include cl...

In this paper, land subsidence susceptibility was assessed for Shahryar County in Iran using the adaptive neuro-fuzzy inference system (ANFIS) machine learning algorithm. Another aim of present paper to assess if ensembles ANFIS with two meta-heuristic algorithms (imperialist competitive algorithm (ICA) and gray wolf optimization (GWO)) would yield a better prediction performance. A remote sens...

The grey wolf optimization (GWO) is a nature inspired and meta-heuristic algorithm, it has successfully solved many problems give better solution as compare to other algorithms. However, due its poor exploration capability, imbalance relation between exploitation. Therefore, in this research work, the part of GWO was improved through hybrid with whale algorithm (WOA) exploration. proposed (GWWO...

The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the biological behaviours swarm wolves hunting for prey. This paper presents recent progress on Optimization algorithm, its variants and their applications, issues, likely prospects. review revealed that opportunities still exists more robust stable GWO will overcome shortcomings existing variants. has potential to stimu...