Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

362
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
362
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.8K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.8K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

186
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
186
Optimal Foraging00:48

Optimal Foraging

12.7K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.7K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.6K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.6K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.2K
3.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bis(2,2'-bipyridine-κ(2)N,N')tris-(nitrato-κ(2)O,O')erbium(III).

Acta crystallographica. Section E, Structure reports online·2012
Same author

Trichloridotris{N-[phen-yl(pyridin-2-yl)methyl-idene]hydroxyl-amine-κ(2)N,N'}neodymium(III).

Acta crystallographica. Section E, Structure reports online·2012
Same author

Bis[μ-N-(2-oxidobenzyl-idene)pyridine-2-carbohydrazidato]bis-[chlorido(methanol-κO)erbium(III)].

Acta crystallographica. Section E, Structure reports online·2012
Same author

Contrast enhanced ultrasonography in the diagnosis of IgG4-negative autoimmune pancreatitis: A case report.

Journal of interventional gastroenterology·2012
Same author

Synthesis, characterization and in vitro anti-tumor activities of matrine derivatives.

Bioorganic & medicinal chemistry letters·2012
Same author

Relations between plasma von Willebrand factor or endothelin-1 and restenosis following carotid artery stenting.

Medical principles and practice : international journal of the Kuwait University, Health Science Centre·2012
Same journal

DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery.

Frontiers in neurorobotics·2026
Same journal

ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

ST-HADP: Spatio-Temporal hierarchical attention diffusion policy for long-horizon generalizable bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception.

Frontiers in neurorobotics·2026
Same journal

Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments.

Frontiers in neurorobotics·2026
Same journal

NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.

Frontiers in neurorobotics·2026
See all related articles

Related Experiment Video

Updated: Oct 30, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.9K

A Genetic-Algorithm-Based Optimization Routing for FANETs.

Xing Wei1,2, Hua Yang2, Wentao Huang1

  • 1School of Computer Science and Information Technology, Guangxi Normal University, Guilin, China.

Frontiers in Neurorobotics
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

A new Genetic-algorithm-based Routing (GAR) protocol optimizes routes in Flying Ad Hoc Networks (FANETs). This approach enhances network throughput, reduces delay, and improves stability for mobile FANETs.

Keywords:
artificial intelligenceflying ad hoc networkgenetic algorithmrouting optimizationrouting protocol

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

877
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Related Experiment Videos

Last Updated: Oct 30, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.9K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

877
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Area of Science:

  • Computer Science
  • Network Engineering
  • Algorithm Optimization

Background:

  • Flying Ad Hoc Networks (FANETs) present unique challenges due to high node mobility.
  • Existing topology-based routing protocols struggle to efficiently manage dynamic FANET environments.

Purpose of the Study:

  • To propose a novel Genetic-algorithm-based Routing (GAR) protocol for FANETs.
  • To enhance route discovery by considering link stability, bandwidth, and node energy.

Main Methods:

  • Developed a GAR protocol utilizing an improved genetic algorithm for FANETs.
  • Optimized genetic algorithm operators (selection, crossover, variation) for efficient route planning.
  • Evaluated route planning from communication initiation to destination nodes.

Main Results:

  • GAR significantly improves network throughput.
  • GAR effectively reduces data transmission delay.
  • GAR enhances overall network stability in FANETs.

Conclusions:

  • The proposed GAR protocol is well-suited for the dynamic nature of FANETs.
  • GAR offers a cost-effective and rapid solution for optimized FANET routing.
  • Experimental results validate GAR's superior performance over existing methods.