Results 41 to 50 of about 36,380 (225)

Grey Wolf Optimization Algorithm based Optimal Scheduling of Microgrid

, 2023
Abstract Using a microgrid method, distributed generation has the potential to become a component of the larger system. Advanced management and the system provided by the communication infrastructure operate in concert to coordinate the Micro grid's low voltage distribution network with storage devices and programmable loads.
Mamta Chamoli, Manoj Kumar Panda, Vishnu. Mohan. Mishra   +2 more
openaire   +1 more source

The hybrid grey wolf optimization-slime mould algorithm

Journal of Physics: Conference Series, 2020
Abstract In this paper, we hybridize the grey wolf optimization (GWO) algorithm with the newly proposed slime mould algorithm (SMA). Comparisons had been made and three kinds of benchmark functions were introduced to verify the capability. 100 Monte Carlo simulation experiments had been carried on to reduce the influence of randomness as
Zheng-Ming Gao, Juan Zhao, Yu Yang, Xue-Jun Tian   +3 more
openaire   +1 more source

An Improved Chaotic Grey Wolf Optimization Algorithm (CGWO)

International Journal on Recent and Innovation Trends in Computing and Communication, 2023
Grey Wolf Optimization (GWO) is a new type of swarm-based technique for dealing with realistic engineering design constraints and unconstrained problems in the field of metaheuristic research. Swarm-based techniques are a type of population-based algorithm inspired by nature that can produce low-cost, quick, and dependable solutions to a wider variety ...
Ramana Ramana, K. Kavitha, Smita Rani Sahu, B. Manideep, T. Ravi Kumar, Nibedan Panda   +5 more
openaire   +1 more source

In-Wheel Motor Control System for Four-Wheel Drive Electric Vehicle Based on CR-GWO-PID Control

Sensors, 2023
In order to improve the driving performance of four-wheel drive electric vehicles and realize precise control of their speed, a Chaotic Random Grey Wolf Optimization-based PID in-wheel motor control algorithm is proposed in this paper.
Xiaoguang Xu, Miao Wang, Ping Xiao, Jiale Ding, Xiaoyu Zhang   +4 more
doaj   +1 more source

Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition [PDF]

, 2017
Partial shading condition is one of the adverse phenomena which effects the power output of photovoltaic (PV) systems due to inaccurate tracking of global maximum power point.
Cherukuri, S. K. (Santhan), Rayapudi, S. R. (Srinivasa)   +1 more
core   +1 more source

Hybrid Strategy Improved Grey Wolf Optimization Algorithm for Plume Tracking and Localization Method in Indoor Weak Wind Environment

IEEE Access, 2022
Reliable tracking of the plume by the robot is the key to achieving plume source localization. To address the problem of low success rate and long search time of robot source location due to the unavailability of reliable information on gas diffusion ...
Xiaoqiang Jin, Xiangfeng Zhang, Hong Jiang, Jiaquan Tian   +3 more
doaj   +1 more source

A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer

, 2019
Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Abbas, Dosti K., Rashid, Tarik A., Turel, Yalin K.   +2 more
core   +1 more source

Multi-objective Economic Emission Load Dispatch using Grey Wolf Optimization [PDF]

, 2016
This paper presents grey wolf optimization method for solving multi-objective economic emission load dispatch (EELD) problem in diverse test power systems. Grey Wolf Optimization (GWO) is a new meta-heuristic motivated from grey wolf.
Chopra, N. (Nitish), Kumar, G. (Gourav), Mehta, S. (Shivani)   +2 more
core   +1 more source

Chaotic grey wolf optimization algorithm for constrained optimization problems

Journal of Computational Design and Engineering, 2017
AbstractThe Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from the social hunting behavior of grey wolves. This paper introduces the chaos theory into the GWO algorithm with the aim of accelerating its global convergence speed.
Kohli, Mehak, Arora, Sankalap
openaire   +1 more source

Parameter estimation of Muskingum model using grey wolf optimizer algorithm

MethodsX, 2021
Flood routing plays a crucial role in prevention of major economic and human losses, which, in this study, has been conducted via both three- and four-constant parameter non-linear Muskingum models for four hydrographs, along with the Grey Wolf Optimizer (GWO) algorithm. Three benchmark examples and a real example (Karun river) were investigated.
Reyhaneh Akbari, Masoud-Reza Hessami-Kermani   +1 more
openaire   +3 more sources