aitoa-code | source code examples for the book `` An Introduction

by thomasWeise Java Version: 0.8.79 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | aitoa-code Summary

aitoa-code is a Java library. aitoa-code has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

In this repository, we provide example source codes for the book "An Introduction to Optimization Algorithms". With the book, we try to develop a readable and accessible introduction in optimization, optimization algorithms, and, in particular, metaheuristics. The code is designed as a versatile and general implementation of these algorithms in Java and provides one example application: the Job Shop Scheduling Problem (JSSP).

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Quality

Security

License

Reuse

Support

aitoa-code has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of aitoa-code is 0.8.79

Quality

aitoa-code has no bugs reported.

Security

aitoa-code has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

aitoa-code is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

aitoa-code releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed aitoa-code and discovered the below as its top functions. This is intended to give you an instant insight into aitoa-code implemented functionality, and help decide if they suit your requirements.

Randomly selects the node
Generates a random path from the tree
Replace the end of this path
Replace the child at the given index
Compute the next number
Returns the spin folding correction
Compute a random number
Solves the solution using the given algorithm
Loads the data from a resource
Overrides the implementation of this algorithm to generate a new array
Solves the solution and returns the solution
Returns the path to the given executable name
Compare two end results
Simplified implementation of the solution
Applies this filter to the given array of bits
Visits all points in the search space
Solves the problem with the given process
Solves the xFA from the search space
This method is used to map a point
Performs the relevant solution
Solves the linear solution
Solves the x and y
Solves the self - optimal optimization
Solves the solution of the solver
Build the root node

Get all kandi verified functions for this library.

aitoa-code Key Features

No Key Features are available at this moment for aitoa-code.

aitoa-code Examples and Code Snippets

No Code Snippets are available at this moment for aitoa-code.

Community Discussions

No Community Discussions are available at this moment for aitoa-code.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install aitoa-code

The source code is provided at GitHub as a Maven project for Java 1.8 along with settings for the Eclipse developer environment. I therefore recommend using Eclipse for exploring and playing around with it. Once you have checked-out the code and imported it as existing project in Eclipse, you need to right-click the project, choose "Maven" and then "Update Project". This will automatically download the required dependencies (currently, only Junit 4.12) and set up the folder structure properly. You can also use this package as a jar library directly, which will allow you to use all the implemented algorithms and API directly in your project. Then, it may make sense to remember that this is rather an educational package, not necessarily designed for efficiency. Anyway, if your software project uses Maven as well, then you can even directly link these sources as dependency. Therefore, you need to do the following.

Support

If you have any questions or suggestions, please contact Prof. Dr. Thomas Weise of the Institute of Applied Optimization at Hefei University in Hefei, Anhui, China via email to tweise@hfuu.edu.cn with CC to tweise@ustc.edu.cn.

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