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

Natural and Artificial Concepts01:24

Natural and Artificial Concepts

457
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
457
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

304
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
304
Synthetic Biology02:55

Synthetic Biology

5.4K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.4K
Genetic Screens02:46

Genetic Screens

5.5K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

220
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
220
Heuristics01:21

Heuristics

545
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
545

You might also read

Related Articles

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

Sort by
Same author

Development and Validation of a Patient Satisfaction Questionnaire for Home-Based Radiography Services.

Cureus·2026
Same author

Exploring the relationship between burnout and hearing in pharmaceutical industry workers exposed to noisy environment.

Archives of environmental & occupational health·2025
Same author

Threshold Adaptation for Improved Wrapper-Based Evolutionary Feature Selection.

Biomimetics (Basel, Switzerland)·2025
Same author

Impact of Subclinical Hearing Loss on Quality of Life Among Industrial Workers: A Cross-Sectional Analysis Utilizing the SF-36 Questionnaire.

Cureus·2025
Same author

Accuracy of distinguishing benign, high-risk lesions and malignancies with inductive machine learning models in BIRADS 4 and BIRADS 5 lesions on breast MR examinations.

European journal of radiology·2024
Same author

Editorial: Introduction to the special issue "Data in Management and Decision Engineering".

Data in brief·2024
Same journal

A harmonized fast-fashion garment-variant dataset for textile circularity and sustainability assessment.

Data in brief·2026
Same journal

Terahertz reflectivity dataset: Reading text on both sides of the page.

Data in brief·2026
Same journal

High-quality draft genome sequence data of <i>Levilactobacillus brevis</i> 3LB isolated from fermented milk koumiss.

Data in brief·2026
Same journal

Interview dataset: Encouraging the development of industrial symbiosis networks in Slovenia - transition to the circular economy.

Data in brief·2026
Same journal

Timeseries of multispectral and radar data and vegetation indices from Sentinel-1, Sentinel-2 and Landsat-8 at field scale.

Data in brief·2026
Same journal

BACI-VI-Bench: A dataset of variational inequality benchmark instances for multi-agent trade-network equilibrium.

Data in brief·2026
See all related articles

Related Experiment Video

Updated: Dec 17, 2025

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

13.3K

A comprehensive database of Nature-Inspired Algorithms.

Alexandros Tzanetos1, Iztok Fister2, Georgios Dounias1

  • 1Management and Decision Engineering Laboratory, Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Greece.

Data in Brief
|June 25, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a comprehensive collection of Nature-Inspired Algorithms (NIAs) to aid researchers. It offers a structured taxonomy and application insights for these rapidly evolving computational methods.

Keywords:
Bio-inspired algorithmsEvolutionary algorithmsEvolutionary computingNature-inspired algorithmsNature-inspired computingSwarm intelligence

More Related Videos

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.9K
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

12.1K

Related Experiment Videos

Last Updated: Dec 17, 2025

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

13.3K
A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.9K
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

12.1K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Optimization Techniques

Background:

  • The proliferation of Nature-Inspired Algorithms (NIAs) presents a challenge for researchers seeking to stay current.
  • A lack of standardized classification hinders understanding and application of NIAs.
  • Existing literature lacks a consolidated overview of published NIAs.

Purpose of the Study:

  • To compile a comprehensive dataset of all published Nature-Inspired Algorithms.
  • To develop a robust taxonomy for classifying NIAs based on their features.
  • To provide insights into the application domains of various NIAs.

Main Methods:

  • Conducted two extensive surveys to gather data on published Nature-Inspired Algorithms.
  • Collected preliminary data on algorithm characteristics and publication status.
  • Analyzed and categorized algorithms based on identified features for taxonomic development.

Main Results:

  • A comprehensive collection of Nature-Inspired Algorithms is presented.
  • A novel taxonomy is proposed, categorizing algorithms by specific features.
  • Insights into the diverse application areas addressed by NIAs are provided.

Conclusions:

  • The compiled data and taxonomy offer a valuable resource for researchers in the field of Nature-Inspired Algorithms.
  • This work facilitates a better understanding of the NIA landscape and their practical utility.
  • The structured collection aids in navigating the growing number of nature-inspired computational approaches.