Refactoring and improving a gist from Ms Vijini Mallawaarachchi ( @Vini2 )
I also took the edit of @liangyihuai into account.
For this software I'll iteratively refactor the code with some of the best practices in the software industry. However, I kept the lab "sensation", hence, Ms Vijini Mallawaarachchi could keep experimenting in the public static void main() method, as most data scientists do ;)
I won't use fancy external lib such as for logging as I want Mrs Vijini Mallawaarachchi and her datascience readers to easily clone the repository and run it with no maven/gradle dependency to install.
This is my gift to her for her very interrresting article.
This repo focuses on :
- Object Oriented Programming refactoring (if this work ins't done and she wants to continue improving her program, she'll find it harder to reuse the code if the structure is wobbly)
- adding usefull and nice customizable printouts
- going forward (I'try to add some more features I have in mind, relative to her genetic algorithm :) )
After reading Ms Vijini Mallawaarachchi's article, i came accross this optimized version to make it as the starting point to develop my study project which is about implementing a solution for SAT problem using genetic Algorithm with Java.
My contribution revolves around creating a simple GUI for Genetic Algorithms using :
- javaFX
- netbeans as IDE
- SceneBuilder to design my interface
- JFoenix library for material design
This interface is based on MVC modeling and offers the ability to specify :
- Number of starting population
- Number of genes per individual
- Maximum number of generations
- Showing the genetic poll for each individual - or not -
- TextArea to print the generated results
