The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from hunting behavior wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-free, conceptually simple, user-friendly, adaptable, flexible, and robust. Its efficacy been demonstrated across a wide range optimization problems diverse ...

Abstract In estimating the parameters of five unknown Single‐Diode Model (SDM) solar photovoltaic (PV) model, a non‐linear equation for PV cell current is typically utilized. Then, error between estimated and measured computed using objective function called Root‐Mean‐Square‐Error (RMSE). order to compute in SDM, an iterative method built on Lambert‐W presented this study. Along with Lamber‐W f...

Abstract The two-wheeled self-balancing robot (TWSBR) is based on the axletree and inverted pendulum. Its balancing problem requires a control action. To speed up response of minimize steady state error, in this article, grey wolf optimizer (GWO) method proposed for TWSBR space feedback technique. controller stabilizes minimizes overshoot value system. dynamic model system derived Euler formula...

The scope of this paper is to forecast wind speed. Wind speed, temperature, wind direction, relative humidity, precipitation of water content and air pressure are the main factors make the wind speed forecasting as a complex problem and neural network performance is mainly influenced by proper hidden layer neuron units. This paper proposes new criteria for appropriate hidden layer neuron unit’s...

Some civil engineering-based infrastructures are planned for the Structural Health Monitoring (SHM) system based on their importance. Identifiction and detecting damage automatically at the right time are one of the major objectives this system faces. One of the methods to meet this objective is model updating whit use of optimization algorithms in structures.This paper is aimed to evaluate the...

This paper presents a comparison of optimizers for tuning fractional-order proportional-integral-derivative (FOPID) and (PID) controllers, which were applied to DC/DC boost converter. Grey wolf optimizer (GWO) extended grey (EGWO) have been chosen achieve suitable parameters. strategy aims improve optimize proton exchange membrane fuel cell (PEMFC) output power quality through its link with the...

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...

A design of an optimal backstepping fractional order proportional integral derivative (FOPID) controller for handling the trajectory tracking problem wheeled mobile robots (WMR) is examined in this study. Tuning parameters a challenging task, to overcome issue hybrid meta-heuristic optimization algorithm has been utilized. This evolutionary technique known as whale grey wolf optimizer (HWGO), w...