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

103
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...
103
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

431
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
431
Heuristics01:21

Heuristics

141
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
141
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

711
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...
711
Indirect Motor Pathways01:22

Indirect Motor Pathways

1.6K
The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
1.6K
Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

3.5K
Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
3.5K

You might also read

Related Articles

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

Sort by
Same author

Expansion and CAR engineering of granulocyte-monocyte progenitors for cellular immunotherapy.

Cell·2026
Same author

Dynamic Manipulation Skill Learning for Tactile Myoelectric Prosthetic Hands in Tool Handling.

Cyborg and bionic systems (Washington, D.C.)·2026
Same author

MDRSGAN : Multi-Scale Deep Residual Shrinkage Generative Adversarial Network for Medical Image Enhancement.

IEEE journal of biomedical and health informatics·2026
Same author

Emphysematous pyelonephritis: eight case reports and literature review.

Frontiers in medicine·2025
Same author

Sliding mode controller by using adaptive exponential reaching law based on nonlinear disturbance observer.

ISA transactions·2025
Same author

FRNet V2: A Lightweight Full-Resolution Convolutional Neural Network for OCTA Vessel Segmentation.

Biomimetics (Basel, Switzerland)·2025

Related Experiment Video

Updated: Sep 4, 2025

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

11.8K

Path Planning Optimization of Intelligent Vehicle Based on Improved Genetic and Ant Colony Hybrid Algorithm.

Kangjing Shi1, Li Huang2,3, Du Jiang1,4

  • 1Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.

Frontiers in Bioengineering and Biotechnology
|July 18, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an improved hybrid algorithm for intelligent vehicle path planning, significantly reducing iterations and turns for better energy efficiency. The enhanced method optimizes both genetic and ant colony algorithms for smoother, more efficient navigation.

Keywords:
algorithm hybridant colony algorithmgenetic algorithmintelligent vehiclepath optimization

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

13.0K
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.8K

Related Experiment Videos

Last Updated: Sep 4, 2025

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

11.8K
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
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.8K

Area of Science:

  • Robotics and Intelligent Systems
  • Artificial Intelligence and Optimization Algorithms

Background:

  • Intelligent vehicles face challenges with unsmooth path planning, leading to increased energy consumption due to excessive turns.
  • Current path planning algorithms often lack efficiency in complex logistical, agricultural, and industrial applications.

Purpose of the Study:

  • To develop an improved hybrid algorithm for four-wheel intelligent vehicle path planning.
  • To enhance path smoothness, reduce the number of turns, and consequently lower energy consumption.

Main Methods:

  • An improved genetic and ant colony hybrid algorithm was proposed, enhancing the ant colony's heuristic function and the genetic algorithm's fitness function.
  • Adaptive adjustments were made to the evaporation factor, crossover factor, and mutation factor.
  • A deletion operator, elite retention strategy, and integration of suboptimal solutions were incorporated.

Main Results:

  • The improved hybrid algorithm demonstrated significant reductions in average iterations (46-47%) and average turns (21-75%) compared to traditional methods in both simple and complex grids.
  • The algorithm proved effective in reducing turns, particularly in simple map environments.

Conclusions:

  • The proposed improved hybrid algorithm offers a more efficient and effective solution for intelligent vehicle path planning.
  • This optimization contributes to reduced energy consumption and improved operational performance in various industries.