Results 1 to 10 of about 157 (88)

Research on UAV Path Planning Based on Enhanced Artificial Lemming Algorithm [PDF]

Biomimetics
Unmanned aerial vehicle path planning faces multiple challenges in terms of effectiveness and safety. Traditional optimization methods are difficult to use to effectively find the best route.
Yu Liu, Maosheng Fu, Chaochuan Jia, Zhengyu Liu, Xuemei Zhu, Bao Zhou, Jingya Zhang, Hai Liu   +7 more
doaj   +5 more sources

An Enhanced Artificial Lemming Algorithm and Its Application in UAV Path Planning [PDF]

Biomimetics
This paper presents an enhanced artificial lemming algorithm (EALA) for solving complex unmanned aircraft system (UAV) path planning problems in three-dimensional environments.
Xuemei Zhu, Chaochuan Jia, Jiangdong Zhao, Chunyang Xia, Wei Peng, Ji Huang, Ling Li   +6 more
doaj   +6 more sources

An Improved Bionic Artificial Lemming Algorithm for Global Optimization and Cloud Task-Scheduling Problems [PDF]

Biomimetics
The intelligent optimization algorithm has become a key tool in complex and intertwined engineering and science fields. However, with the increasing complexity of the problem and the rapid expansion of the data scale, the performance of the algorithm has
Yuyong Tan, Jianfeng Wang, Bin Wang
doaj   +6 more sources

Nonlinear 2-DOF PID controller optimized by artificial lemming algorithm for robust engine speed regulation in spark-ignition systems [PDF]

Scientific Reports
Achieving precise and stable engine speed regulation in spark-ignition (SI) systems remains a challenging task because of the inherent nonlinearities, time-varying characteristics, and external disturbances of internal combustion engines (ICEs ...
Serdar Ekinci, Davut Izci, Mostafa Jabari, Mohit Bajaj, Vojtech Blazek, Lukas Prokop   +5 more
doaj   +5 more sources

A novel hyperbolic tangent-based PID controller tuned by the artificial lemming algorithm for nonlinear steam condenser pressure control [PDF]

Scientific Reports
Precise pressure regulation in nonlinear shell-and-tube steam condensers is essential for maintaining thermal efficiency and operational safety in power generation plants; however, conventional proportional-integral (PI) and proportional-integral ...
Serdar Ekinci, Davut Izci, Mostafa Jabari, Emre Çelik, Mohit Bajaj, Pradeep Vishnuram, Olena Rubanenko   +6 more
doaj   +6 more sources

Multi-Mechanism Artificial Lemming Algorithm for Global Optimization and Color Multi-Threshold Image Segmentation [PDF]

Biomimetics
Color multi-threshold image segmentation is a non-convex, gradient-free global optimization problem. The number of decision variables increases with the number of thresholds, leading to a rapid expansion of the search space and increased computational ...
Liang Tao, Lingzhi Li, Fan Lu
doaj   +3 more sources

An Improved Artificial Lemming Algorithm Integrating Non-Uniform Mutation and Q-Learning Adaptation for Underwater Manipulator Controller Tuning [PDF]

Biomimetics
To address the rapid population diversity loss and premature convergence of the Artificial Lemming Algorithm (ALA) in complex optimization problems, this paper proposes an Improved Artificial Lemming Algorithm (IALA) with multi-strategy enhancements ...
Ran Wang, Weiquan Huang, Junyu Wu, Chen Chen, Yanjie Song, He Wang   +5 more
doaj   +4 more sources

Intelligent Control of Magnetic Ball Suspension Systems via a Novel Hyperbolic Tangent PID Controller Tuned by the Artificial Lemming Algorithm [PDF]

Biomimetics
Magnetic ball suspension (MBS) systems are widely used as benchmark platforms in control engineering due to their nonlinear dynamics and inherent open-loop instability, which pose substantial challenges for conventional linear control strategies.
Serdar Ekinci, Davut Izci, Vedat Tümen, Mostafa Jabari, Emre Çelik, Ali Elrashidi   +5 more
doaj   +3 more sources

Application of Soft Computing Represented by Regression Machine Learning Model and Artificial Lemming Algorithm in Predictions for Hydrogen Storage in Metal-Organic Frameworks. [PDF]

Materials (Basel)
Metal-organic frameworks (MOFs) have been extensively studied for hydrogen storage due to their unique properties. This paper aims to develop several regression-based machine learning models to predict the hydrogen storage capacity of MOFs, including artificial neuron network (ANN), support vector regression (SVR), random forest (RF), extreme learning ...
Zhang J, Li Y, Li C, Mei X, Zhou J.
europepmc   +4 more sources

Research on Path Planning for Mobile Robot Using the Enhanced Artificial Lemming Algorithm

Mathematics
To address the key challenges in shortest path planning for known static obstacle maps—such as the tendency to converge to local optima in U-shaped/narrow obstacle regions, unbalanced computational efficiency, and suboptimal path quality—this paper ...
Pengju Qu, Xiaohui Song, Zhijin Zhou
doaj   +4 more sources