Results 41 to 50 of about 61,825 (273)

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Antarctic Sea ice distribution detection based on improved ant colony algorithm

Frontiers in Marine Science
The changes in the Antarctic sea ice area are directly related to the changes in the atmosphere and oceans. Determining the Antarctic sea ice distribution is of great significance to the global climate change analysis.
Xingdong Wang, Xingdong Wang, Xingdong Wang, Zehao Sun, Zehao Sun   +4 more
doaj   +1 more source

Path planning of multiple UAVs using MMACO and DE algorithm in dynamic environment

Measurement + Control, 2023
Cooperative path planning of multiple unmanned aerial vehicles is a complex task. The collision avoidance and coordination between multiple unmanned aerial vehicles is a global optimal issue.
Zain Anwar Ali, Han Zhangang, Di Zhengru
doaj   +1 more source

Improved Ant Colony Algorithm for Network Flow Scheduling in SDN Data Center

Journal of Harbin University of Science and Technology, 2022
At present, in the software defined data center network, the flow scheduling strategy based on ant colony algorithm has the disadvantages of too slow convergence and search stagnation in path selection, which easily leads to the problems of excessively ...
ZHU Su-xia, LONG Yi-fei, SUN Guang-lu, LI Chun-feng   +3 more
doaj   +1 more source

Discovering Regression Rules with Ant Colony Optimization [PDF]

, 2015
The majority of Ant Colony Optimization (ACO) algorithms for data mining have dealt with classification or clustering problems. Regression remains an unexplored research area to the best of our knowledge.
Fayyad U., Janssen F., Quinlan J.
core   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Local Field Potential‐Based Programming: A Proof‐of‐Concept Pilot Study

Neuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Objectives Programming deep brain stimulation (DBS) is still based on a trial‐and‐error approach, often becoming a time‐consuming process for both treating physicians and patients. Several strategies have been proposed to streamline DBS programming, most of which are preliminary and mainly address Parkinson's disease, a condition readily ...
Alfonso Fasano, Carolina Gorodetsky, Darcia Paul, Jürgen Germann, Aaron Loh, Han Yan, Peter L. Carlen, Sara Breitbart, Andres M. Lozano, George M. Ibrahim, Suneil K. Kalia   +10 more
wiley   +1 more source

An Improvement of a Mapping Method Based on Ant Colony Algorithm Applied to Smart Cities

Applied Sciences, 2022
The ant colony algorithm has been widely used in the field of data analysis of smart cities. However, the research of the traditional ant colony algorithm is more focused on one-to-one scenarios and there is insufficient research on many-to-one scenarios.
Kaiming Xu, Jianjun Wu, Tengchao Huang, Lei Liang   +3 more
doaj   +1 more source

Distributed House-Hunting in Ant Colonies

, 2015
We introduce the study of the ant colony house-hunting problem from a distributed computing perspective. When an ant colony's nest becomes unsuitable due to size constraints or damage, the colony must relocate to a new nest.
Ghaffari, Mohsen, Lynch, Nancy, Musco, Cameron, Radeva, Tsvetomira   +3 more
core   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source