Optimization is a broad field for researchers to develop new algorithms solving various types of problems. There are popular techniques being worked on improvement. Grey wolf optimization (GWO) one such algorithm because it efficient, simple use, and easy implement. However, GWO has several drawbacks as stuck in local optima, low convergence rate, poor exploration. Several attempts have been ma...

A hybrid proportional double derivative and linear quadratic regulator (PD2-LQR) controller is designed for altitude (z) attitude (roll, pitch, yaw) control of a quadrotor vehicle. The derivation mathematical model the formulated based on Newton–Euler approach. An appropriate controller’s parameter must be obtained to obtain superior performance. Therefore, we exploit advantages nature-inspired...

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...

The design of advanced robust control is crucial for serial robotic manipulators under various uncertainties and disturbances in case the forceful performance needs industrial applications. Therefore, this work has proposed implementation a fractional order proportional tilt integral derivative (FOPTID) controller joint space 3-DOF manipulator. been designed based on calculus concept to fulfill...

Cervical cancer is one of the most deadly and common diseases among women worldwide. It completely curable if diagnosed in an early stage, but tedious costly detection procedure makes it unviable to conduct population-wise screening. Thus, augment effort clinicians, this paper, we propose a fully automated framework that utilizes deep learning feature selection using evolutionary optimization f...

Abstract Deregulation in power system and increased demand has introduced congestion system. With the depletion of fossil fuels, sector turned towards incorporation Renewable Energy Systems through private generators. This paper focuses on non-cost-free method to mitigate by rescheduling generators for their active output. The is done such a way that cost minimum. presents new merge two tested ...

Mechanical properties are important indicators for evaluating the quality of strips. This paper proposes a mechanical performance prediction model based on Gray Wolf Optimization (GWO) algorithm and Extreme Learning Machine (ELM) algorithm. In modeling process, GWO is used to determine optimal weights deviations ELM experiments model’s key parameters. The effectively avoids manual intervention ...

Abstract A grey wolf optimization algorithm based on an adaptive adjustment strategy (Improvements-Grey Wolf Optimization, IGWO) is proposed in this paper to address the issues with Grey Optimization (GWO) algorithm, which has a slow convergence speed later stages and where local search global cannot be taken into effective balance. First, chaotic logistic map used initialize population. Next, ...

The goal of this article is to use MPPTs (maximum power point trackers) extort maximum from best configuration or combine renewable resources and energy storage systems that all work together in off-grid for electric vehicle charging. grey wolf algorithm (GWO) searches the MPP at partial shading condition (PSC) with following two consideration one high oscillations around GMPPs, other they are ...

The optimum output power of the proton exchange membrane fuel cell (PEMFC) is dependent on operational conditions such as pressure, oxidant flow rate, and rate. Therefore, aim this paper to enhance performance PEMFC by identifying optimal operating parameters PEMFC. proposed strategy includes both modelling optimization stages. An adaptive network-based fuzzy inference system (ANFIS) utilized i...