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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.5K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
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...
53
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

238
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
238
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

645
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
645
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

491
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
491
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106

You might also read

Related Articles

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

Sort by
Same author

Enhanced Molecular Packing of a Conjugated Polymer with High Organic Thermoelectric Power Factor.

ACS applied materials & interfaces·2016
Same author

Effects of Three Types of Inactivation Agents on the Antibody Response and Immune Protection of Inactivated IHNV Vaccine in Rainbow Trout.

Viral immunology·2016
Same author

An Integrated Model of RAF Inhibitor Action Predicts Inhibitor Activity against Oncogenic BRAF Signaling.

Cancer cell·2016
Same author

Ischemic post-conditioning attenuates acute lung injury induced by intestinal ischemia-reperfusion in mice: role of Nrf2.

Laboratory investigation; a journal of technical methods and pathology·2016
Same author

Liquid-solid joining of bulk metallic glasses.

Scientific reports·2016
Same author

An Autoinhibited Dimeric Form of BAX Regulates the BAX Activation Pathway.

Molecular cell·2016
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 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

13.0K

MBB-MOGWO: Modified Boltzmann-Based Multi-Objective Grey Wolf Optimizer.

Jing Liu1, Zhentian Liu1, Yang Wu1

  • 1College of Computer Science, Inner Mongolia University, Hohhot 010021, China.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
Summary
This summary is machine-generated.

A new Modified Boltzmann-Based Multi-Objective Gray Wolf Optimization (MBB-MOGWO) algorithm improves convergence speed and avoids local optima. It enhances web service composition in the Internet of Things (IoT) for better sensor resource scheduling.

Keywords:
Boltzmann selectionmulti-objective grey wolf optimizeroptimization algorithmweb service composition

More Related Videos

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.5K
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

1.1K

Related Experiment Videos

Last Updated: Jul 1, 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

13.0K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.5K
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

1.1K

Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Internet of Things (IoT)

Background:

  • Multi-objective optimization aims to find optimal solutions for conflicting objectives.
  • Existing Multi-Objective Gray Wolf Optimization (MOGWO) faces challenges like local optima and slow convergence.
  • Web service composition in IoT is critical for sensor resource scheduling but complex.

Purpose of the Study:

  • To introduce a Modified Boltzmann-Based MOGWO (MBB-MOGWO) algorithm to overcome MOGWO limitations.
  • To evaluate MBB-MOGWO's performance on multi-objective test functions and in real-world IoT scenarios.
  • To improve web service composition and sensor resource scheduling in IoT environments.

Main Methods:

  • Development and implementation of the Modified Boltzmann-Based MOGWO (MBB-MOGWO) algorithm.
  • Performance evaluation using standard multi-objective test functions.
  • Application of MBB-MOGWO to a Multi-Objective Problem (MOP) in web service composition using the QWS dataset.

Main Results:

  • MBB-MOGWO demonstrated faster convergence and reduced susceptibility to local optima compared to standard MOGWO.
  • The algorithm achieved superior solution precision in web service composition tasks.
  • MBB-MOGWO-based solutions showed higher fitness and enhanced service quality in IoT applications.

Conclusions:

  • MBB-MOGWO effectively addresses the limitations of traditional MOGWO, offering improved optimization capabilities.
  • The proposed algorithm provides a robust solution for complex multi-objective problems in IoT, particularly for web service composition.
  • MBB-MOGWO significantly enhances sensor resource scheduling by optimizing web service composition, leading to better overall service quality.