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

Pareto Chart00:52

Pareto Chart

7.8K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.8K
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Optimal Foraging00:48

Optimal Foraging

13.8K
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.
13.8K
Optimization Problems01:26

Optimization Problems

71
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
71

You might also read

Related Articles

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

Sort by
Same author

Monitoring of QTc in subjects hospitalized for 1 year in an acute psychiatric ward treated with clotiapine and other associated antipsychotics: a retrospective study.

Therapeutic advances in drug safety·2026
Same author

The Forgotten Test: Missed Opportunities for HIV Diagnosis and Survival Outcomes in Advanced HIV Disease.

Viruses·2026
Same author

Description of a collaborative sperm whale birth and shifts in coda vocal styles during key events.

Scientific reports·2026
Same author

Small-world scale-free brain networks from EEG with application to motor imagery decoding and brain fingerprinting.

Computers in biology and medicine·2026
Same author

Spine-prints: Transposing brain fingerprints to the spinal cord.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Modeling the Spread of Misfolded Proteins in Alzheimer's Disease using Higher-Order Simplicial Complex Contagion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
14:33

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations

Published on: October 1, 2013

14.9K

Pareto Optimality in Multilayer Network Growth.

Andrea Santoro1,2, Vito Latora1,3, Giuseppe Nicosia4,5

  • 1School of Mathematical Sciences, Queen Mary University of London, Mile End Road, E1 4NS, London, United Kingdom.

Physical Review Letters
|October 9, 2018
PubMed
Summary
This summary is machine-generated.

Multilayer transportation networks, like airline and train systems, form through multiobjective optimization balancing efficiency and competition. Companies strategically select routes near the Pareto front for optimal performance.

More Related Videos

Inkjet-printed Polyvinyl Alcohol Multilayers
05:11

Inkjet-printed Polyvinyl Alcohol Multilayers

Published on: May 11, 2017

13.1K
Optimization of Crystal Growth for Neutron Macromolecular Crystallography
12:29

Optimization of Crystal Growth for Neutron Macromolecular Crystallography

Published on: March 13, 2021

5.9K

Related Experiment Videos

Last Updated: Feb 4, 2026

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
14:33

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations

Published on: October 1, 2013

14.9K
Inkjet-printed Polyvinyl Alcohol Multilayers
05:11

Inkjet-printed Polyvinyl Alcohol Multilayers

Published on: May 11, 2017

13.1K
Optimization of Crystal Growth for Neutron Macromolecular Crystallography
12:29

Optimization of Crystal Growth for Neutron Macromolecular Crystallography

Published on: March 13, 2021

5.9K

Area of Science:

  • Complex Systems Science
  • Network Science
  • Operations Research

Background:

  • Transportation networks are complex systems involving multiple service providers.
  • Understanding the principles governing network formation is crucial for optimizing efficiency and competition.

Purpose of the Study:

  • To model the formation of multilayer transportation networks using multiobjective optimization.
  • To analyze the trade-offs between efficiency and competition in route creation.

Main Methods:

  • Developed a multiobjective optimization model for network formation.
  • Applied the model to diverse transportation systems including air, train, and bus networks.
  • Analyzed route selection strategies of major airline carriers.

Main Results:

  • The model accurately reproduces real-world transportation networks.
  • Airline route networks closely align with the theoretical Pareto front in the efficiency-competition plane.
  • Major carriers are positioned on the Pareto front, indicating strategic route selection.

Conclusions:

  • Multiobjective optimization principles fundamentally shape large-scale transportation networks.
  • The findings offer insights for service providers on smart route selection strategies.