Results 191 to 200 of about 3,055,148 (230)
Some of the next articles are maybe not open access.
On Numerical 2D P Colonies with the Blackboard and the Gray Wolf Algorithm
2021The 2D P colonies (see [2]) were introduced as a theoretical model of the multi-agent system for observing the behavior of the community of very simple agents living in the shared environment. Each agent is equipped with a set of programs consisting of a small number of simple rules.
Daniel Valenta +3 more
openaire +1 more source
A chaotic and hybrid gray wolf-whale algorithm for solving continuous optimization problems
Progress in Artificial Intelligence, 2021The gray wolf optimizer (GWO) and the whale optimization algorithm (WOA) are two esteemed optimization algorithms, and their various modified versions are proposed in recent years for different applications. The GWO and WOA simulate the hunting method of gray wolves and humpback whales, respectively.
Mohammad Masdari +2 more
exaly +3 more sources
System Reliability Optimization Using Gray Wolf Optimizer Algorithm
Quality and Reliability Engineering International, 2016For the past two decades, nature‐inspired optimization algorithms have gained enormous popularity among the researchers. On the other hand, complex system reliability optimization problems, which are nonlinear programming problems in nature, are proved to be non‐deterministic polynomial‐time hard (NP‐hard) from a computational point of view.
Anuj Kumar, Sangeeta Pant, Mangey Ram
openaire +1 more source
Robotica, 2023
AbstractWith the popularization of electric vehicles, early built parking lots cannot solve the charging problem of a large number of electric vehicles. Mobile charging robots have autonomous navigation and complete charging functions, which make up for this deficiency.
Shangjunnan Liu +2 more
openaire +2 more sources
AbstractWith the popularization of electric vehicles, early built parking lots cannot solve the charging problem of a large number of electric vehicles. Mobile charging robots have autonomous navigation and complete charging functions, which make up for this deficiency.
Shangjunnan Liu +2 more
openaire +2 more sources
2021
In this paper, we present an improvement of the Gray Wolf algorithm (GWO) based on a multi-threaded implementation of the original algorithm. The paper demonstrates how to combine the solutions obtained in each of the threads to achieve a final solution closer to the absolute minimum or even equal to it. To properly combine the solutions of each of the
Felix Martinez-Rios +3 more
openaire +1 more source
In this paper, we present an improvement of the Gray Wolf algorithm (GWO) based on a multi-threaded implementation of the original algorithm. The paper demonstrates how to combine the solutions obtained in each of the threads to achieve a final solution closer to the absolute minimum or even equal to it. To properly combine the solutions of each of the
Felix Martinez-Rios +3 more
openaire +1 more source
Improved DV-Hop algorithm combining chaotic map and Gray Wolf algorithm
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ), 2022Fang Xianbao +3 more
openaire +1 more source
Improved Gray Wolf Optimization (GWO) Algorithm for Path Planning
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE), 2022Yongsheng Guan, Ye Yuan, Feng Yang
openaire +1 more source
Optimization of the excitation trajectory of particle gray wolf optimization algorithm
2022 IEEE International Conference on Mechatronics and Automation (ICMA), 2022Xiaolei Wu, Bin. Li, Jin Wu, Yaqiao Zhu
openaire +1 more source
A gray wolf optimization algorithm using position mutation strategy
2022 41st Chinese Control Conference (CCC), 2022Zhensheng Wang, Tianhong Pan
openaire +1 more source
Estimation of Camera Parameters via Gray Wolf Optimization Algorithm
2023 6th International Conference on Engineering Technology and its Applications (IICETA), 2023Firas Abedi +5 more
openaire +1 more source