Results 101 to 110 of about 6,414 (217)

Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms [PDF]

Advances in Engineering and Intelligence Systems
Solar energy is a significant source of energy due to its accessibility and cleanliness. Photovoltaic (PV) systems are among the most efficient methods for converting solar energy into electrical energy.
M. Sundar Rajan
doaj   +1 more source

Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter

Systems Science & Control Engineering
This research introduces a novel dual Fast Grey Wolf Optimizer (FGWO) combined with Radial Basis Function Neural Networks (RBFNN) for a Fractional-Order PID (FOPID) controller applied to a helicopter simulator.
Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra   +2 more
doaj   +1 more source

MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm

ELKHA
Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy.
Aripriharta Aripriharta, Muhiban Syabani, Siti Sendari, Aji Prasetya Wibawa, Suhiro Wongso Susilo, Muhammad Cahyo Bagaskoro, Norzanah Rosmin   +6 more
openaire   +2 more sources

Many-Objective Grey Wolf Optimizer (MaOGWO) for solving real-world problems

Results in Engineering
The Grey Wolf Optimizer (GWO) is an effective optimization algorithm that primarily focuses on single objective optimization and is characterized by its simplicity and fast convergence.
Kanak Kalita, Pradeep Jangir, Lenka Čepová, Shankar Chakraborty, Sundaram B. Pandya, Arpita   +5 more
doaj   +1 more source

Grey Wolf Optimizer with Multiple Objectives for Wireless Network Base Station Location for Optimal Coverage [PDF]

This study proposes a Grey Wolf Optimizer (GWO)-based framework for optimal base station (BTS) placement in wireless networks, minimizing infrastructure costs while maximizing coverage and Quality of Service (QoS).
Chandra, Sourabh, Paira, Smita
core   +2 more sources

Approach of economic‐emission load dispatch using Ant Lion Optimizer [PDF]

, 2018
To solve the problem of the economic emission load dispatch (EELD) is necessary minimize the total cost of fuel consumption and carbon emission. In this study is applied the ant lion optimizer (ALO) to this problem.
Carvajal, T. L. (Tirso), Freitas, C. A. (Carlos), Júnior, J. D. (Jorge), Leite, J. C. (Jandecy), Nascimento, M. H. (Manoel)   +4 more
core  

Improved Grey Wolf Algorithm: A Method for UAV Path Planning

Drones
The Grey Wolf Optimizer (GWO) algorithm is recognized for its simplicity and ease of implementation, and has become a preferred method for solving global optimization problems due to its adaptability and search capabilities.
Xingyu Zhou, Guoqing Shi, Jiandong Zhang
doaj   +1 more source

Node coverage optimization algorithm for wireless sensor networks based on improved grey wolf optimizer

Journal of Algorithms & Computational Technology, 2019
Aiming at the problem of wireless sensor network node coverage optimization with obstacles in the monitoring area, based on the grey wolf optimizer algorithm, this paper proposes an improved grey wolf optimizer (IGWO) algorithm to improve the ...
Zhendong Wang, Huamao Xie, Zhongdong Hu, Dahai Li, Junling Wang, Wen Liang   +5 more
doaj   +1 more source

Experimental validation of novel hybrid Grey Wolf Equilibrium Optimization for MPPT to improve the efficiency of solar photovoltaic system

Results in Engineering
This paper introduces a novel strategy for tracking the Maximum Power Point (MPP) using Grey Wolf Equilibrium Optimizer (GWEO) algorithm, which integrates a search mechanism of Grey Wolf Optimizer (GWO) and Equilibrium Optimizer (EO).
Feriel Abdelmalek, Hamza Afghoul, Fateh Krim, Mohit Bajaj, Vojtech Blazek   +4 more
doaj   +1 more source

Path Planning of Obstacle-Crossing Robot Based on Golden Sine Grey Wolf Optimizer

Applied Sciences
This paper proposes a golden sine grey wolf optimizer (GSGWO) that can be adapted to the obstacle-crossing function to solve the path planning problem of obstacle-crossable robot.
Di Zhao, Guangrui Cai, Yuxing Wang, Xixing Li   +3 more
doaj   +1 more source