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

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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

79
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...
79
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

87
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
87
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

566
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...
566
Differential Leveling01:12

Differential Leveling

210
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
210
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

127
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...
127
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

178
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
178

You might also read

Related Articles

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

Sort by
Same author

Neoadjuvant chemoimmunotherapy versus neoadjuvant chemoradioimmunotherapy for locally advanced esophageal squamous cell carcinoma.

International journal of clinical oncology·2026
Same author

Accelerating tumor evolution and enhancing immunotherapy efficacy in lung adenocarcinoma based on EXO1 inhibition.

Translational lung cancer research·2026
Same author

Regional characteristics of esophageal cancer and robot-assisted minimally invasive esophagectomy (RAMIE): an analysis of the international UGIRA registry.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus·2026
Same author

Clinical efficacy of comprehensive traditional Chinese medicine in adjuvant therapy for stage Ib-IIIa resected non-small cell lung cancer: a multi-center, randomized, double-blind, placebo-controlled trial.

Frontiers in pharmacology·2026
Same author

Robotic-assisted bronchoscopy in dye localization in thoracoscopic pulmonary nodule resection: An initial experience.

JTCVS techniques·2026
Same author

Robot-assisted versus conventional minimally invasive oesophagectomy for oesophageal squamous cell carcinoma (RAMIE): a multicentre, open-label, randomised, phase 3, non-inferiority trial.

The lancet. Gastroenterology & hepatology·2026
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
See all related articles

Related Experiment Video

Updated: Jul 17, 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

A new differential evolution using a bilevel optimization model for solving generalized multi-point dynamic

Yu Shen1, Hecheng Li2

  • 1School of Computer Science and Technology, Qinghai Normal University, Xining 810008, Qinghai, China.

Mathematical Biosciences and Engineering : MBE
|September 7, 2023
PubMed
Summary
This summary is machine-generated.

This study addresses the multi-point dynamic aggregation problem (MPDAP) by developing a novel bilevel programming model and a differential evolution algorithm for fire-fighting robot task scheduling. The approach optimizes cost and completion time effectively.

Keywords:
bilevel optimization modeldifferential evolutionmulti-point dynamic aggregation problemmultirobot systemtask allocation

More Related Videos

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.1K

Related Experiment Videos

Last Updated: Jul 17, 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
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.1K

Area of Science:

  • Operations Research
  • Robotics
  • Artificial Intelligence

Background:

  • The multi-point dynamic aggregation problem (MPDAP) involves complex dynamic task assignment and routing optimization under resource constraints.
  • High computational complexity arises from dynamic task allocation, multiple objectives, and limited resources in MPDAP.

Purpose of the Study:

  • To investigate and solve a representative MPDAP using a fire-fighting robot task scheduling scenario.
  • To present a new bilevel programming model optimizing task cost and completion time.

Main Methods:

  • Developed a novel bilevel programming model with task cost as the leader's objective.
  • Designed a differential evolution algorithm utilizing a new matrix coding scheme for efficient model solving.
  • Incorporated high-quality solutions into mutation and selection operations to enhance population generation.

Main Results:

  • The proposed bilevel programming model effectively addresses the dual objectives of cost and completion time.
  • The differential evolution algorithm demonstrates feasibility and effectiveness in solving the MPDAP.
  • Experimental results validate the algorithm's performance in dynamic task scheduling and resource allocation.

Conclusions:

  • The developed bilevel programming model and differential evolution algorithm provide a feasible and effective solution for the multi-point dynamic aggregation problem.
  • This research offers a robust approach for optimizing dynamic task scheduling and resource allocation in complex real-world applications.