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

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

27
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
27
Manipulation and Analysis01:21

Manipulation and Analysis

17
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
17
Design Consideration01:22

Design Consideration

177
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
177
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

35
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
35
Social Traps01:41

Social Traps

22.3K
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
22.3K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
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...
38

You might also read

Related Articles

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

Sort by
Same author

Parental Education and Delirium Risk after Surgery in Older Adults.

Clinical gerontologist·2022
Same author

TRPM7 channel inhibition attenuates rheumatoid arthritis articular chondrocyte ferroptosis by suppression of the PKCα-NOX4 axis.

Redox biology·2022
Same author

Macrophage-Targeting and Complete Lysosomal Degradation of Self-assembled Two-Dimensional Poly(ε-caprolactone) Platelet Particles.

ACS applied materials & interfaces·2022
Same author

Weak electro-stimulation promotes microbial uranium removal: Efficacy and mechanisms.

Journal of hazardous materials·2022
Same author

Novel Advances in the Study of IgG4-Related Disease in the Eye and Ocular Adnexa.

Ophthalmic research·2022
Same author

Electronic structure modulation of nickel hydroxide porous nanowire arrays via manganese doping for urea-assisted energy-efficient hydrogen generation.

Journal of colloid and interface science·2022

Related Experiment Video

Updated: May 24, 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

12.9K

Intelligent optimization method for hazardous materials transportation routing with multi-mode and multi-criterion

Fan Chen1, Qing Zhu2

  • 1Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, 730070, China. chenfan@mail.lzjtu.cn.

Scientific Reports
|March 6, 2025
PubMed
Summary

This study introduces DSNSGA3, an improved algorithm for hazardous materials transportation route optimization. It enhances decision-making accuracy and robustness in complex multi-modal networks.

Keywords:
Hazardous materialsIntegrated transportationMulticriteria decision-makingMultimodal transportationRoute optimization

More Related Videos

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

Related Experiment Videos

Last Updated: May 24, 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

12.9K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

Area of Science:

  • Operations Research
  • Transportation Science
  • Logistics Management

Background:

  • Hazardous materials transportation route optimization is complex due to multiple criteria and transport modes.
  • Existing methods struggle to balance diverse evaluation needs in multi-modal networks.

Purpose of the Study:

  • To develop a novel method for multi-mode transportation network and multi-criterion route optimization.
  • To improve decision-making for hazardous materials logistics.

Main Methods:

  • Formulation of a three-objective integer programming model.
  • Development of an improved multi-objective genetic algorithm (DSNSGA3) with priority-based chromosome encoding.
  • Integration of non-dominated sorting, crowding distance, and a local search strategy.
  • Implementation of an automatic weight-assigning decision-making method.

Main Results:

  • DSNSGA3 effectively identifies a diverse and distributed Pareto front.
  • Compared to NSGA3, DSNSGA3 shows average improvements of 1.93% in accuracy and 1.32% in robustness.
  • Convergence is advanced by an average of 11.33 generations.

Conclusions:

  • The proposed DSNSGA3 algorithm offers superior performance for hazardous materials route optimization.
  • The decision-making method provides a balanced and definitive solution for complex logistics.
  • This approach supports intelligent multi-criteria decision-making in challenging transportation environments.