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

Plane Potential Flows01:23

Plane Potential Flows

438
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
438
Bernoulli's Principle: Applications01:17

Bernoulli's Principle: Applications

4.1K
There are many devices and situations in which fluid flows at a constant height and so can be analyzed using Bernoulli's principle. These devices include, but are not limited to, entrainment devices and fluid flow measuring devices.
Entrainment devices use a high fluid speed to create low pressures and, thus, entrain one fluid into another. Some examples of these devices are given below:
4.1K
Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

233
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
233
Bernoulli's Equation: Problem Solving01:16

Bernoulli's Equation: Problem Solving

1.4K
A Venturi meter is essential for measuring fluid flow rates in pipelines. It utilizes the relationship between fluid velocity and pressure described by Bernoulli's equation. When installed in a sewage system, the Venturi meter accurately determines the wastewater flow rate by measuring pressure differences.
The first step is to compute the cross-sectional areas of the pipe and the Venturi throat to analyze the pressure difference indicated by the pressure gauge. Next, the continuity...
1.4K
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

171
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
171
Hydrostatic Pressure Force on a Plane Surface01:04

Hydrostatic Pressure Force on a Plane Surface

450
When a plane surface is submerged in a fluid, hydrostatic forces develop on the surface due to the fluid's pressure. For horizontal surfaces, the pressure exerted by the fluid is uniform because the depth remains constant. The resultant force is determined by the pressure at the given depth multiplied by the area of the surface, and it acts through the centroid of the surface. For vertical surfaces, the pressure varies with depth, increasing as the distance from the fluid's free surface...
450

You might also read

Related Articles

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

Sort by
Same author

Synthesis of alumina ceramic meta-fibers with tensile super-plasticity.

Nature communications·2026
Same author

The prognostic role of surgical resection in selected patients with primary CNS lymphoma based on voxel-wise analysis.

Neuro-oncology advances·2026
Same author

Night running and internet addiction among university students: a serial mediation model of stress/anxiety and rumination.

Frontiers in psychology·2026
Same author

Linear Association of Derivatives of Triglyceride-Glucose Index with Incident Lower Limb Joint Pain in Middle-Aged and Older Chinese Adults: A Prospective Cohort Study [Letter].

Journal of pain research·2026
Same author

Clinical features and prognostic factors for spinal metastasis from sarcomatoid carcinoma: identifying candidates suitable for surgical intervention.

BMC musculoskeletal disorders·2026
Same author

The serine-arginine-rich protein PfSR-X2 modulates human malaria parasite gene expression during the intraerythrocytic developmental cycle.

Frontiers in cellular and infection microbiology·2026

Related Experiment Video

Updated: Aug 15, 2025

Building an Enhanced Flight Mill for the Study of Tethered Insect Flight
12:09

Building an Enhanced Flight Mill for the Study of Tethered Insect Flight

Published on: March 10, 2021

3.0K

Enhancing grasshopper optimization algorithm (GOA) with levy flight for engineering applications.

Lei Wu1, Jiawei Wu2, Tengbin Wang3

  • 1Information College, North China University of Technology, Beijing, 100144, China. stone.wu@ncut.edu.cn.

Scientific Reports
|January 4, 2023
PubMed
Summary
This summary is machine-generated.

The improved Levy Flight Grasshopper Optimization Algorithm (LFGOA) enhances global search and precision for optimization problems. This novel approach offers a better balance between exploration and exploitation, outperforming existing methods.

More Related Videos

A Simple Flight Mill for the Study of Tethered Flight in Insects
07:42

A Simple Flight Mill for the Study of Tethered Flight in Insects

Published on: December 10, 2015

17.2K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K

Related Experiment Videos

Last Updated: Aug 15, 2025

Building an Enhanced Flight Mill for the Study of Tethered Insect Flight
12:09

Building an Enhanced Flight Mill for the Study of Tethered Insect Flight

Published on: March 10, 2021

3.0K
A Simple Flight Mill for the Study of Tethered Flight in Insects
07:42

A Simple Flight Mill for the Study of Tethered Flight in Insects

Published on: December 10, 2015

17.2K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.2K

Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Swarm Intelligence

Background:

  • The Grasshopper Optimization Algorithm (GOA), proposed in 2017, is a meta-heuristic inspired by grasshopper swarm behavior.
  • Existing GOA variants suffer from insufficient global search ability and imprecise solutions.
  • There is a need for improved GOA versions to address these limitations in solving complex optimization problems.

Purpose of the Study:

  • To develop an improved Grasshopper Optimization Algorithm (GOA) incorporating a Levy Flight mechanism, termed LFGOA.
  • To enhance the global search capability and solution precision of the original GOA.
  • To achieve a more effective balance between exploration and exploitation in optimization tasks.

Main Methods:

  • The proposed Levy Flight Grasshopper Optimization Algorithm (LFGOA) integrates the Levy Flight mechanism into the standard GOA framework.
  • LFGOA was evaluated using 23 mathematical benchmark functions.
  • Performance comparison was conducted against eight well-established meta-heuristic algorithms and seven real-world engineering problems.

Main Results:

  • The LFGOA algorithm demonstrated a superior balance between exploration and exploitation.
  • Experimental results and statistical analysis confirmed the efficiency of LFGOA.
  • LFGOA achieved significant improvements in solving benchmark functions and engineering problems compared to other algorithms.

Conclusions:

  • The developed LFGOA effectively addresses the shortcomings of the original GOA, particularly in global search and precision.
  • LFGOA exhibits strong exploration and exploitation capabilities, making it a promising alternative for meta-heuristic optimization.
  • The integration of Levy Flight significantly enhances the performance of the Grasshopper Optimization Algorithm.