libmep 2022.01.10.0-beta

Multi Expression Programming library

Implements the Multi Expression Programming (MEP) technique for solving regression and classification problems. MEP is a Genetic Programming (GP) variant with linear representation of chromosomes.

MEP introduced a unique feature: the ability to encode multiple solutions in the same chromosome. This means that we can explore much more from the search space compared to other techniques which encode a single solution in the chromosome. In most cases this advantage comes with no penalty regarding the running time or the involved resources.

To compile:

C++ 11 is required due to the use of C++ 11 threads.

Create a new project and add:

• all files from src and
• one file from tests folder (which contains the main function).

Include paths must point to the include folder of this project.

To run:

You need some file with training data. We provided 2 files (located in the data folder) for test:

• bulding1.csv for regression problems,
• cancer1.csv for classification problems.

Make sure that the instruction (from the main function):

if (!training_data->from_csv("../data/building1.csv")) ...

has the correct path of the file.

Documentation

https://github.com/mepx/libmep/wiki

It is obsolete. It will be updated soon.

More info:

www.mepx.org

mepx.github.io

https://github.com/mepx

Discussion Group:

https://groups.google.com/d/forum/mepx

Contact author:

mihai.oltean@gmail.com