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

Methods of Medium Optimization01:28

Methods of Medium Optimization

69
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
69
Optimization Problems01:26

Optimization Problems

217
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...
217
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

487
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
487
Response Surface Methodology01:16

Response Surface Methodology

892
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
892
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

712
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
712
Convenience Sampling Method00:55

Convenience Sampling Method

8.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.6K

You might also read

Related Articles

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

Sort by
Same author

A mixed-methods systematic review of factors affecting missed nursing care in intensive care.

Intensive & critical care nursing·2026
Same author

Machine Learning-Based Prediction of Subsyndromal Delirium in Intensive Care Patients.

American journal of critical care : an official publication, American Association of Critical-Care Nurses·2025
Same author

Stereo-seq V2: Spatial mapping of total RNA on FFPE sections with high resolution.

Cell·2025
Same author

The efficacy and safety of inhaled peptide YKYY017 for COVID-19 patients with mild illness: a phase 2 randomized controlled trial.

Nature communications·2025
Same author

PT<sub>f</sub>-SRiApt Targeting SCAF4-POLR2A Interaction Suppresses Tumor Growth and Promotes Antitumor Immunity in Triple-Negative Breast Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Linking Soil Properties and Bacterial Communities with Organic Matter Carbon During Vegetation Succession.

Plants (Basel, Switzerland)·2025

Related Experiment Video

Updated: Apr 28, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.0K

Novel web service selection model based on discrete group search.

Jie Zhai1, Zhiqing Shao1, Yi Guo1

  • 1Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.

Thescientificworldjournal
|June 4, 2014
PubMed
Summary

A new evolutionary approach using the discrete group search service (D-GSS) model optimizes web service composition. This method efficiently selects optimal component instantiations to meet complex performance constraints.

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

12.6K
Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development
06:00

Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development

Published on: March 17, 2023

1.0K

Related Experiment Videos

Last Updated: Apr 28, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.0K
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

12.6K
Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development
06:00

Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development

Published on: March 17, 2023

1.0K

Area of Science:

  • Computer Science
  • Software Engineering
  • Artificial Intelligence

Background:

  • Formal methods enable semiautomatic verification of web service specifications.
  • Selecting optimal component instantiations from numerous options is challenging due to complex performance constraints.

Purpose of the Study:

  • To introduce a novel evolutionary approach for optimizing web service composition.
  • To address the difficulty of selecting optimal component instantiations under multiple constraints.

Main Methods:

  • Development of the discrete group search service (D-GSS) model.
  • Proposal of a cost function and the discrete group search optimizer (D-GSO) algorithm.
  • Verification and testing of the D-GSS model's convergence and performance.

Main Results:

  • The D-GSS model demonstrates competitive performance in accuracy and efficiency for service selection.
  • The approach effectively solves high-dimensional service composition problems.
  • The proposed D-GSO algorithm aids in obtaining optimal multiconstraint instantiations.

Conclusions:

  • The D-GSS model offers a robust solution for optimizing web service composition.
  • This evolutionary approach enhances the selection of service components to meet complex requirements.
  • The study validates the model's effectiveness through verification and test cases.