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

Optimization Problems01:26

Optimization Problems

102
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...
102
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

372
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...
372
Derivatives: Problem Solving01:26

Derivatives: Problem Solving

122
Temperature-Dependent Growth of Brook TroutThe growth of brook trout is closely influenced by water temperature. Experimental data demonstrate how trout weight changes over a 24-day period in response to varying water temperatures. At lower temperatures, such as 15.5 degrees Celsius, brook trout show significant weight gain. However, as the temperature increases, the amount of weight gained steadily decreases. At the highest temperature measured, 24.4 degrees Celsius, trout experience a net...
122
Optimal Foraging00:48

Optimal Foraging

14.1K
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.
14.1K
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

455
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
455
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.2K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Recent Advances in Two-Dimensional Metallic MXenes as High-Performance Saturable Absorbers.

Nanomaterials (Basel, Switzerland)·2026
Same author

CAHA-Net: A novel MR image classification model based on DenseNet incorporating coordinate attention and hybrid augmentation.

Scientific reports·2026
Same author

Retraction Note: Plant disease recognition using residual convolutional enlightened Swin transformer networks.

Scientific reports·2026
Same author

Multi-strategy remora optimization algorithm for color multi-threshold image segmentation.

PloS one·2026
Same author

IFIANet: Frequency Attention Network for Time-Frequency in sEMG-Based Motion Intent Recognition.

Sensors (Basel, Switzerland)·2026
Same author

Corrigendum to "Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems" [Heliyon Volume 10, Issue 11, June 2024, Article e31629].

Heliyon·2025
Same journal

Characterization of genomic diversity in bacteriophages infecting Rhodococcus.

PloS one·2026
Same journal

Effectiveness of the Responding to Experienced and Anticipated Discrimination (READ) training on reducing stigma for medical students in Tunisia.

PloS one·2026
Same journal

Cell-cell junction gene signatures as subtype-specific prognostic biomarkers in breast cancer.

PloS one·2026
Same journal

GC-MS based tentative identification of γ-sitosterol from Brassica nigra seeds and evaluation of its anticancer potential: An integrated in vitro and in silico study.

PloS one·2026
Same journal

Ad-based social media interventions increase belief accuracy and generate pro-social opinions among non-news readers.

PloS one·2026
Same journal

Negotiating knowledge: The role of network hedging in the production of high-impact science.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Feb 28, 2026

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities
06:57

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities

Published on: February 6, 2019

6.5K

An improved crayfish optimization algorithm for solving engineering optimization problems.

Shuai Zhang1, Shuai Zhang1, Jinhuang You1

  • 1School of Information Engineering, Fujian Key Lab of Agriculture IOT Application, Sanming University, Sanming, China.

Plos One
|February 26, 2026
PubMed
Summary
This summary is machine-generated.

The improved Crayfish Optimization Algorithm (ICOA) enhances population diversity and exploration using Sobol sequences and Lévy flights. This advanced algorithm overcomes limitations of the original COA, achieving superior performance in complex engineering optimization tasks.

More Related Videos

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

13.5K
Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

8.0K

Related Experiment Videos

Last Updated: Feb 28, 2026

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities
06:57

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities

Published on: February 6, 2019

6.5K
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

13.5K
Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

8.0K

Area of Science:

  • Computational Intelligence
  • Metaheuristic Optimization
  • Swarm Intelligence

Background:

  • The Crayfish Optimization Algorithm (COA) balances global search and local exploration.
  • COA faces challenges including diversity degradation, limited exploration, and premature convergence to local minima.

Purpose of the Study:

  • To introduce an improved Crayfish Optimization Algorithm (ICOA) addressing the limitations of the original COA.
  • To enhance optimization efficiency, population diversity, and exploration capabilities in metaheuristic algorithms.

Main Methods:

  • Population initialization using Sobol sequence mapping to increase diversity.
  • Integration of Lévy flight strategy in the foraging phase for enhanced exploration.
  • Euclidean distance-fitness balanced competition strategy during the competition phase for simultaneous exploitation and exploration.

Main Results:

  • ICOA demonstrated superior performance on IEEE CEC2019 and CEC2020 benchmark functions across various dimensions.
  • Validation on five engineering optimization problems showed significant improvements over COA, with gains up to 88.8%.
  • Sensitivity, quantitative, and nonparametric statistical analyses confirmed ICOA's robustness and effectiveness.

Conclusions:

  • ICOA effectively overcomes the limitations of COA, offering enhanced optimization capabilities for complex problems.
  • The proposed strategies significantly improve the efficacy of the Crayfish Optimization Algorithm.
  • ICOA shows strong potential for application in diverse engineering optimization challenges.