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

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

432
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
432
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

922
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
922
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

272
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 enhance...
272
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

477
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes...
477
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

283
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
283
Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

354
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...
354

You might also read

Related Articles

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

Sort by
Same author

Ultraviolet irradiation-responsive dynamic ultralong organic phosphorescence in polymeric systems.

Nature communications·2021
Same author

Wavelength beam-combining of terahertz quantum-cascade laser arrays.

Optics letters·2021
Same author

Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging.

Nature communications·2021
Same author

Supercapsular percutaneously-assisted total hip (SuperPath) versus mini-incision posterolateral total hip arthroplasty for hip osteoarthritis: a prospective randomized controlled trial.

Annals of translational medicine·2021
Same author

Association of apolipoproteins A1 and B with type 2 diabetes and fasting blood glucose: a cross-sectional study.

BMC endocrine disorders·2021
Same author

Transgluteal versus prone approach to extracorporeal shockwave lithotripsy for patients with distal ureteral stones: A systematic review and meta-analysis.

Asian journal of surgery·2021
Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Nov 23, 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

13.2K

An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems.

Quan-Ke Pan, Liang Gao, Ling Wang

    IEEE Transactions on Cybernetics
    |December 29, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new distributed flowshop group scheduling method for manufacturing. The developed cooperative co-evolutionary algorithm significantly improves makespan minimization compared to existing approaches.

    More Related Videos

    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

    12.0K
    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.9K

    Related Experiment Videos

    Last Updated: Nov 23, 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

    13.2K
    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

    12.0K
    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.9K

    Area of Science:

    • Operations Research
    • Manufacturing Systems Engineering
    • Computational Optimization

    Background:

    • Modern manufacturing systems face complex scheduling challenges.
    • Distributed flowshop group scheduling is critical for optimizing production.
    • Minimizing makespan is a key objective in these systems.

    Purpose of the Study:

    • To address the novel distributed flowshop group scheduling problem.
    • To develop an efficient algorithm for minimizing makespan under group constraints.
    • To enhance computational efficiency for complex scheduling problems.

    Main Methods:

    • Formulation of a mixed-integer linear programming model.
    • Development of a cooperative co-evolutionary algorithm (CCEA).
    • Introduction of a novel collaboration model and reinitialization scheme within CCEA.

    Main Results:

    • The proposed CCEA demonstrates high effectiveness.
    • The novel collaboration and reinitialization schemes significantly improve performance.
    • CCEA substantially outperforms established metaheuristics for this scheduling problem.

    Conclusions:

    • The developed CCEA is a superior approach for distributed flowshop group scheduling.
    • The proposed enhancements offer significant computational advantages.
    • This research provides a valuable tool for optimizing manufacturing operations.