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

Combinatorial Gene Control02:33

Combinatorial Gene Control

9.7K
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...
9.7K
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

1.0K
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
1.0K
Sample Handling01:02

Sample Handling

2.7K
Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
2.7K
Space Trusses01:25

Space Trusses

1.3K
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. The space truss is widely used in various construction projects due to its adaptability and capacity to withstand complex loads.
At the core of a space truss lies the fundamental unit known as the tetrahedron. This structure is composed of six members that form a three-dimensional shape...
1.3K
State Space Representation01:27

State Space Representation

610
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
610
Space Trusses: Problem Solving01:29

Space Trusses: Problem Solving

917
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. Due to its adaptability and capacity to withstand complex loads, the space truss is widely used in various construction projects.
Consider a tripod consisting of a tetrahedral space truss with a ball-and-socket joint at C. Suppose the height and lengths of the horizontal and vertical...
917

You might also read

Related Articles

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

Sort by
Same author

The sources and dynamics of fine-grained sediment degrading the Freshwater Pearl Mussel (Margaritifera margaritifera) beds of the River Torridge, Devon, UK.

The Science of the total environment·2018
Same author

Bronchoalveolar lavage for diagnosis of tuberculosis infection in elephants.

Epidemiology and infection·2018
Same author

Nationwide Cross-Sectional Study on Bovine Tuberculosis by Intra Vitam Testing in Germany, 2013-2014.

Transboundary and emerging diseases·2016
Same author

Identifying Features of Fitness Landscapes and Relating Them to Problem Difficulty.

Evolutionary computation·2016
Same author

Mycobacterium tuberculosis exposure of livestock in a German dairy farm: implications for intra vitam diagnosis of bovine tuberculosis in an officially tuberculosis-free country.

Epidemiology and infection·2015
Same author

[Tuberculosis in cattle - surprisingly re-emerging or continuously present?].

Tierarztliche Praxis. Ausgabe G, Grosstiere/Nutztiere·2014

Related Experiment Video

Updated: Feb 13, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

8.2K

Constraint Handling Guided by Landscape Analysis in Combinatorial and Continuous Search Spaces.

Katherine M Malan1, I Moser2

  • 1Department of Decision Sciences, University of South Africa, Pretoria, South Africa malankm@unisa.ac.za.

Evolutionary Computation
|March 13, 2018
PubMed
Summary

Understanding constrained optimization problems requires analyzing violation landscapes. This study reveals how landscape properties influence the effectiveness of different constraint-handling techniques for heuristic algorithms.

Keywords:
Broken Hill Problem.Constraint handlingcombinatorial optimisationcontinuous optimisationsearch space analysis

More Related Videos

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
06:32

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Published on: August 18, 2023

3.0K
Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
11:44

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

8.1K

Related Experiment Videos

Last Updated: Feb 13, 2026

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
08:46

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

Published on: September 16, 2014

8.2K
Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
06:32

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Published on: August 18, 2023

3.0K
Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
11:44

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

8.1K

Area of Science:

  • Optimization Theory
  • Heuristic Algorithms
  • Computational Intelligence

Background:

  • Fitness landscapes characterize heuristic algorithm performance on optimization problems.
  • Practical problems often involve constraints, necessitating constraint-handling techniques (CHTs) to navigate infeasible search spaces.
  • The interaction between fitness and violation landscapes complicates algorithm behavior.

Purpose of the Study:

  • To characterize constrained optimization landscapes using violation metrics.
  • To evaluate the performance of six CHTs across diverse constrained problems.
  • To establish relationships between landscape properties and the efficacy of different CHTs.

Main Methods:

  • Applied violation landscape metrics to continuous and combinatorial optimization problems.
  • Assessed the relative performance of six established constraint-handling techniques.
  • Correlated landscape characteristics with CHT performance.

Main Results:

  • For problems with sampled feasible solutions, a bi-objective approach excelled, though other techniques were better for disjoint feasible areas.
  • For problems lacking measurable feasibility, feasibility ranking was generally superior, but other CHTs performed better with high fitness-violation correlation.
  • Specific landscape properties favor particular constraint-handling strategies.

Conclusions:

  • The structure of constrained optimization landscapes significantly impacts the performance of heuristic algorithms.
  • Understanding violation landscapes is crucial for selecting appropriate constraint-handling techniques.
  • Tailoring CHTs to specific landscape properties can enhance optimization efficiency.