mTSP_Salesman_Selection_ACO | ant colony system and max-min ant system based algorithms
kandi X-RAY | mTSP_Salesman_Selection_ACO Summary
kandi X-RAY | mTSP_Salesman_Selection_ACO Summary
mTSP_Salesman_Selection_ACO is a Java library. mTSP_Salesman_Selection_ACO has no bugs, it has no vulnerabilities and it has low support. However mTSP_Salesman_Selection_ACO build file is not available. You can download it from GitHub.
This repository contains the source code for five implemented Ant Colony Optimization (ACO) algorithms for solving the single-objective MinMax Multiple Traveling Salesman Problem (mTSP), which considers the minimization of the longest tour, and the bi-objective mTSP, which considers two conflicting objectives: 1) minimization of the total traveled distance and 2) work balancing {which amounts to minimizing the amplitude of the costs of individual tours). The aim is to examine the correlation between the mechanism employed to select the salesman during the tour construction phase, and the quality of obtained solutions. Also, this repository includes the data set, containing the considered mTSP instances used in the experimental study. Version: 1.0 Contact: necula dot raluca at gmail dot com.
This repository contains the source code for five implemented Ant Colony Optimization (ACO) algorithms for solving the single-objective MinMax Multiple Traveling Salesman Problem (mTSP), which considers the minimization of the longest tour, and the bi-objective mTSP, which considers two conflicting objectives: 1) minimization of the total traveled distance and 2) work balancing {which amounts to minimizing the amplitude of the costs of individual tours). The aim is to examine the correlation between the mechanism employed to select the salesman during the tour construction phase, and the quality of obtained solutions. Also, this repository includes the data set, containing the considered mTSP instances used in the experimental study. Version: 1.0 Contact: necula dot raluca at gmail dot com.
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mTSP_Salesman_Selection_ACO has a low active ecosystem.
It has 5 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
mTSP_Salesman_Selection_ACO has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mTSP_Salesman_Selection_ACO is current.
Quality
mTSP_Salesman_Selection_ACO has no bugs reported.
Security
mTSP_Salesman_Selection_ACO has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mTSP_Salesman_Selection_ACO does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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mTSP_Salesman_Selection_ACO releases are not available. You will need to build from source code and install.
mTSP_Salesman_Selection_ACO has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed mTSP_Salesman_Selection_ACO and discovered the below as its top functions. This is intended to give you an instant insight into mTSP_Salesman_Selection_ACO implemented functionality, and help decide if they suit your requirements.
- Writes the results to Excel file .
- 2 - search for two cities in the given list .
- Reverse the relocated letters .
- Reads data from a TSP file .
- move to the next city
- Demonstrates how to exit the solution
- Updates the paretoto - pareto - pareto - p
- Compute the list of knn lists .
- Parses the command line .
- Print records to stdout .
Get all kandi verified functions for this library.
mTSP_Salesman_Selection_ACO Key Features
No Key Features are available at this moment for mTSP_Salesman_Selection_ACO.
mTSP_Salesman_Selection_ACO Examples and Code Snippets
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Community Discussions
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Vulnerabilities
No vulnerabilities reported
Install mTSP_Salesman_Selection_ACO
You can download it from GitHub.
You can use mTSP_Salesman_Selection_ACO like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mTSP_Salesman_Selection_ACO component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use mTSP_Salesman_Selection_ACO like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mTSP_Salesman_Selection_ACO component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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