Results 31 to 40 of about 40,987 (204)

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Study on an Assembly Prediction Method of RV Reducer Based on IGWO Algorithm and SVR Model

Sensors, 2022
This paper proposes a new method for predicting rotation error based on improved grey wolf–optimized support vector regression (IGWO-SVR), because the existing rotation error research methods cannot meet the production beat and product quality ...
Shousong Jin, Mengyi Cao, Qiancheng Qian, Guo Zhang, Yaliang Wang   +4 more
doaj   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

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
semanticscholar   +1 more source

Swarm Robots Search for Multiple Targets Based on Historical Optimal Weighting Grey Wolf Optimization

Mathematics, 2023
This study investigates the problem of swarm robots searching for multiple targets in an unknown environment. We propose the Historical Optimal Weighting Grey Wolf Optimization (HOWGWO) algorithm based on an improved grouping strategy.
Qian Zhu, Yongqing Li, Zhen Zhang
doaj   +1 more source

A Novel Improved Grey Wolf Algorithm Based Global Maximum Power Point Tracker Method Considering Partial Shading

IEEE Access
Considering photovoltaic systems’ sustainability and environmental friendliness, they have been widely used due to ease of installation as their cost reduces and their efficiency is improved.
Hasan Gundogdu, Alpaslan Demirci, Said Mirza Tercan, Umit Cali   +3 more
semanticscholar   +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

Intelligent Layout Method of Ship Pipelines Based on an Improved Grey Wolf Optimization Algorithm

Journal of Marine Science and Engineering
Ship piping arrangement is a nondeterministic polynomial problem. Based on the advantages of the grey wolf optimization (GWO) algorithm, which is simple, easy to implement, and has few adjustment parameters and fast convergence speed, the study adopts ...
Yongjin Lu, Kai Li, Rui Lin, Yunlong Wang, Hairong Han   +4 more
doaj   +1 more source

Production scheduling of prefabricated components considering delivery methods

Scientific Reports, 2023
To address the processing scheduling problem involving multiple molds, components, and floors, we propose the Genetic Grey Wolf Optimizer (GGA) as a means to optimize the production scheduling of components in a production line.
Shuqiang Wang, Xi Zhang
doaj   +1 more source

Solving the Flexible Job Shop Scheduling Problem Using a Discrete Improved Grey Wolf Optimization Algorithm

Machines, 2022
The flexible job shop scheduling problem (FJSP) is of great importance for realistic manufacturing, and the problem has been proven to be NP-hard (non-deterministic polynomial time) because of its high computational complexity.
Xiaohong Kong, Yunhang Yao, Wenqiang Yang, Zhile Yang, Jinzhe Su   +4 more
doaj   +1 more source