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

Trial and Error and Algorithm01:12

Trial and Error and Algorithm

167
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...
167
Heuristics01:21

Heuristics

120
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...
120
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

477
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
477
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

1.8K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
1.8K
Castigliano's Theorem: Problem Solving01:14

Castigliano's Theorem: Problem Solving

731
The deflection of a simply supported beam that carries a central point load can be analyzed using structural mechanics principles, particularly by applying Castigliano's theorem. This theorem relates the displacement at the load application point to the partial derivatives of the strain energy in the structure. The simply supported beam with a point load at its center has symmetric reaction forces at the supports, each bearing half of the load. The bending moment at any point along the beam...
731
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

780
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
780

You might also read

Related Articles

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

Sort by
Same author

A study of an EOQ model where the demand depends on time and varying number of tourists using fuzzy triangular norms.

Journal of ambient intelligence and humanized computing·2022
Same author

A Pollution Sensitive Marxian Production Inventory Model with Deterioration Under Fuzzy System.

Journal of optimization theory and applications·2022
See all related articles

Related Experiment Video

Updated: Aug 15, 2025

In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals
12:18

In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals

Published on: February 26, 2022

10.0K

The goat search algorithms.

Sujit Kumar De1

  • 1Department of Mathematics, Midnapore College (Autonomous), Midnapore, 721101 India.

Artificial Intelligence Review
|January 2, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel nature-inspired algorithm simulating goat herding behavior to optimize complex functions. The algorithm effectively addresses challenges in multi-modal optimization, showing promising results compared to existing methods.

Keywords:
Goat searchGoat’s behaviorGoat’s jumpMetaheuristicOptimization

More Related Videos

Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

42.2K
Isolation, Expansion, and Differentiation of Mesenchymal Stem Cells from the Infrapatellar Fat Pad of the Goat Stifle Joint
12:06

Isolation, Expansion, and Differentiation of Mesenchymal Stem Cells from the Infrapatellar Fat Pad of the Goat Stifle Joint

Published on: August 2, 2022

1.9K

Related Experiment Videos

Last Updated: Aug 15, 2025

In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals
12:18

In Vivo Methods to Assess Retinal Ganglion Cell and Optic Nerve Function and Structure in Large Animals

Published on: February 26, 2022

10.0K
Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

42.2K
Isolation, Expansion, and Differentiation of Mesenchymal Stem Cells from the Infrapatellar Fat Pad of the Goat Stifle Joint
12:06

Isolation, Expansion, and Differentiation of Mesenchymal Stem Cells from the Infrapatellar Fat Pad of the Goat Stifle Joint

Published on: August 2, 2022

1.9K

Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Nature-Inspired Computing

Background:

  • Traditional optimization algorithms struggle with complex, multi-modal objective functions.
  • Nature-inspired algorithms offer robust solutions by mimicking natural phenomena.
  • The social behavior of goats during grazing presents a unique model for exploration and exploitation.

Purpose of the Study:

  • To develop a novel evolutionary nature-inspired algorithm based on goat herding behavior.
  • To rigorously define and analyze concepts related to goat movement for algorithmic inspiration.
  • To optimize a benchmark multi-modal objective function with singularity zones.

Main Methods:

  • Development of a novel metaheuristic algorithm inspired by goat grazing and shepherd search behaviors.
  • Formalization of concepts such as false walk, uniform/non-uniform steps, and periodic walk.
  • Optimization of a multi-modal objective function using the proposed algorithm, including pseudocode and hardware specifications.

Main Results:

  • The proposed goat-inspired algorithm demonstrates effective optimization of a complex benchmark function.
  • Numerical results show competitive performance when compared against existing state-of-the-art algorithms.
  • Graphical illustrations validate the efficacy and robustness of the developed approach.

Conclusions:

  • The developed goat-behavior-inspired algorithm is a viable and effective tool for multi-modal function optimization.
  • The study provides a rigorous framework for understanding and applying animal behavior in computational intelligence.
  • Future work can explore extensions of the algorithm and its application to other complex optimization problems.