shimoncohen / computationalbiologyass2

ComputationalBiologyAss2

What is this all about?

The goal

Simulating a Genetic Algorithm to solve a problem of Mono-Alphabetic encryption on a text file.

Types of algorithms

There are three types of algorithms:

• Regular - Runs a regular GA.
• Darwin - Runs a Darwin GA with local optimization on the solutions that are not passed on to the next generation.
• Lamarck - Runs a Lamarck GA with local optimization on the solutions that are passed on to the next generation.

Files to provide

1. enc.txt
2. Letter_Freq.txt
3. Letter2_Freq.txt
4. dict.txt

These files should be in the executable's directory.

Setting up the environment

Python version should be 3.6 or above.

Install all the requirements by running:

pip install -r requirements.txt

Running the program

To run in CLI mode run:

python main.py [required flags] [optional flags]

The available flag are:

Optional:

-n: Setting the number of max tries the algorithm will run [default 10].
-ps: Setting the size of the population [default 300].
-acc: Setting the fitness goal of the algorithm [default 0.99].

Required flags:

-r: Run a regular Genetic Algorithm.
-d: Run a Darwin Genetic Algorithm.
-l: Run a Lamarck Genetic Algorithm.

Notice: Only one of the required flags can be chosen.

Create executable file

Install pyinstaller:

pip install pyinstaller

Create executable:

pyinstaller -wF -p src main.py

Running the Executable

To run the executable in CLI mode run:

main.exe [required flags] [optional flags]

Notice: The flags here are the same as the flags to the python file.