Related Experiment Video
Updated: Sep 1, 2025
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
The Optimization of Distribution Path of Fresh Cold Chain Logistics Based on Genetic Algorithm
1Shijiazhuang Posts and Telecommunications Technical College, Shijiazhuang, Hebei 050021, China.
Computational Intelligence and Neuroscience
|August 12, 2022
Summary
This study optimizes cold chain logistics distribution routes using an improved genetic algorithm and simulation, significantly reducing costs and delivery times for frozen and refrigerated goods. The integrated platform ensures faster, more reasonable deliveries, enhancing enterprise development.
Area of Science:
- Logistics and Supply Chain Management
- Operations Research
- Computer Science
Background:
- Product characteristics significantly impact logistics costs, with cold chain logistics demanding strict delivery times and environmental controls.
- Ensuring the safety of frozen and refrigerated food relies heavily on timely and appropriate distribution environments.
- Rising logistics distribution costs are a key concern for enterprise development.
Purpose of the Study:
- To reduce distributor costs in cold chain logistics through optimized distribution path planning.
- To enhance delivery speed and reasonableness by establishing an integrated optimization platform.
- To address the specific challenges of cold chain logistics and distribution routes.
Main Methods:
- Utilized an improved genetic algorithm combined with the Vehicle Routing Problem (VRP) model.
- Integrated optimization platform connecting simulation software (FlexSim) and MATLAB for iterative refinement.
- Employed enhanced coding, selection, crossover, and variation techniques within the genetic algorithm.
Main Results:
- Achieved significant reductions in the number of program iterations required for optimization.
- Developed a more realistic and satisfactory distribution solution through iterative simulation and algorithm refinement.
- Demonstrated the effectiveness of the integrated platform in optimizing cold chain logistics.
Conclusions:
- The improved genetic algorithm offers a more efficient approach to solving the VRP in cold chain logistics.
- Integrated optimization platforms are crucial for managing complex cold chain logistics requirements.
- Optimized distribution routes lead to reduced enterprise costs and improved delivery performance.
Related Concept Videos
01:21Distributed Loads: Problem Solving
703
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...
703
02:12Short-distance Transport of Resources
16.3K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
16.3K