Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Vector Algebra: Graphical Method

Vector Algebra: Graphical Method

Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...

Network Covalent Solids

Network Covalent Solids

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...

Mesh Analysis

Mesh Analysis

Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...

Area Computation by the Alternative Coordinate Method

Area Computation by the Alternative Coordinate Method

The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...

Network Function of a Circuit

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for k_a Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

You might also read

Related Articles

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

Sort by

Same author

Portomesenteric Jump Graft for Liver Transplantation. Single Center Experience in Latin America.

Transplantation proceedings·2026

Same author

Feasibility of an international multicentric HPB fellowship training program in Latin America.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2025

Same author

On Stochastic Operators, Fitness Landscapes, and Optimization Heuristics Performances.

Evolutionary computation·2025

Same author

[Updates in General Management and Frequent Complications Following Adult Liver Transplant].

Revista medica de Chile·2025

Same author

Complete combinatorial mutational enumeration of a protein functional site enables sequence-landscape mapping and identifies highly-mutated variants that retain activity.

Protein science : a publication of the Protein Society·2024

Same author

Migration costs and rewarding schemes in spatial public goods games.

Physical review. E·2024

Search research articles

Related Experiment Video

Updated: Jun 25, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Complex-network analysis of combinatorial spaces: the NK landscape case.

Marco Tomassini¹, Sébastien Vérel, Gabriela Ochoa

¹Information Systems Institute, HEC, University of Lausanne, Switzerland. marco.tomassini@unil.ch

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|March 5, 2009

Summary

This summary is machine-generated.

We introduce inherent networks to characterize combinatorial fitness landscapes, like NK landscapes. Network properties correlate with the difficulty of searching these landscapes.

More Related Videos

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Related Experiment Videos

Last Updated: Jun 25, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Area of Science:

Evolutionary computation
Statistical physics
Network science

Background:

Combinatorial fitness landscapes, such as NK landscapes, are crucial models in evolutionary computation and complex systems research.
Understanding the structure of these landscapes is key to predicting evolutionary trajectories and optimizing search algorithms.
Existing methods often focus on landscape metrics, but network-based approaches offer a novel perspective.

Purpose of the Study:

To propose and apply a network characterization for combinatorial fitness landscapes.
To adapt the concept of inherent networks, previously used for energy surfaces, to fitness landscapes.
To statistically analyze the properties of these inherent networks and their relationship to search difficulty.

Main Methods:

Defining an inherent network where vertices are local maxima and edges represent transition probabilities between basins of attraction.
Applying this network definition to the well-known family of NK landscapes.
Exhaustively extracting these networks for representative NK landscape instances.
Performing a statistical characterization of the extracted network properties.

Main Results:

Successfully constructed inherent networks for NK landscape instances.
Identified statistical properties of these networks.
Found a significant relationship between most network properties and the search difficulty on NK landscapes with varying K values.
Demonstrated the utility of network characterization for understanding landscape complexity.

Conclusions:

The proposed network characterization provides a powerful tool for analyzing combinatorial fitness landscapes.
Inherent network properties offer insights into the inherent search difficulty of NK landscapes.
This approach bridges concepts from network science and evolutionary computation, opening new avenues for research.