Related Experiment Video
Updated: Jun 10, 2025
06:12
Virtual Prism Adaptation Therapy: Protocol for Validation in Healthy Adults
Published on: February 12, 2020
6.8K
Parallel adaptive large neighborhood search based on spark to solve VRPTW
Songzuo Liu1,2, Jian Sun3, Xiaohong Duan1
1Faculty of Information Engineering, Shandong Huayu University of Technology, Dezhou, 253034, China.
Scientific Reports
|October 11, 2024
Summary
A new Spark-based parallel Adaptive Large Neighborhood Search (Spark-ALNS) algorithm effectively solves the vehicle routing problem with time windows (VRPTW). This advanced method finds optimal solutions faster and more accurately than existing algorithms.
Area of Science:
- Operations Research
- Computer Science
- Artificial Intelligence
Background:
- The vehicle routing problem with time windows (VRPTW) is a complex combinatorial optimization challenge.
- Existing algorithms often struggle with finding optimal solutions efficiently for large-scale VRPTW instances.
Purpose of the Study:
- To develop a novel, efficient, and accurate algorithm for solving the multi-objective VRPTW.
- To leverage parallel computing with Adaptive Large Neighborhood Search (ALNS) for improved performance.
Main Methods:
- A Spark-based parallel Adaptive Large Neighborhood Search (Spark-ALNS) algorithm was designed.
- Key components include a novel simulated annealing cooling strategy, CW initialization, and tailored destruction/repair operators.
- A new parallel strategy was implemented to enhance accuracy and reduce computation time.
Main Results:
- The Spark-ALNS algorithm achieved superior performance on Solomon's VRPTW instances.
- It found known optimal solutions for 41 out of 56 instances and discovered new optimal solutions for 31.
- Runtime was 3-5 times faster than other parallel algorithms.
Conclusions:
- The proposed Spark-ALNS is a highly effective method for solving the VRPTW.
- It demonstrates significant improvements in solution quality and computational efficiency compared to existing evolutionary algorithms.
Related Concept Videos
01:20Cluster Sampling Method
11.7K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.7K
01:20Parallel Processing
145
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
145
01:15Prismatic Beams: Problem Solving
105
In the design of a supported timber beam subjected to a distributed load, both the beam's physical dimensions and the timber's characteristics, such as its grade and species, are critical. These factors determine the allowable stress values, which are crucial for calculating the necessary beam depth to ensure structural integrity and safety.
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the...
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the...
105
01:24Area Computation by the Alternative Coordinate Method
49
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
49
01:09Random Sampling Method
11.0K
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. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.0K
01:21Distributed Loads: Problem Solving
628
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...
628