modifiedGA (mGA)

This Python module comprises a modified Genetic Algorithm where a new intermediate step, gene variation, is introduced, and a mutation defined by a Gaussian distribution with a standard deviation that adjusts based on the results of each generation. It is capable of optimizing multiple parameters (even in cases of correlation between them - in such instances, it is advisable to maintain a high number of generations).

Mathematical background and performance test: click here

Installation:

Download the latest release, extract it, enter the extracted file, and run the following command via the console. console python setup.py install

Setting the optimization object

python mGA = modifiedGA.algorithm( popSize, nGen, nVar, mins, maxs, problem, optimType, info )

Required parameters: * popSize : Population size (must be at least 10) * nGen : Number of generations * nVar : Number of variables * mins : Minimum value in the parameter space of possible values for the variables * maxs : Maximum value in the parameter space of possible values for the variables * problem : The function to be used in optimization

[!IMPORTANT] * The values of mins and maxs should consist of as many as nVar value. * The problem should take list of variables as parameters and return the result of the function.

Non-required parameters: * seed (integer) : Sets the initial value of the random number generator as a function of the given number. Using the same seed will always yield the same result. * optimType : Optimization type - 'minimum' or 'maximum' (defaul value is 'minimum') * 'minimum', optimizes the problem to the minimum value. * 'maximum', optimizes the problem to the maximum value. * info (bool) : Enable or disable showing information during calculation (default value is True).

Optimizing and getting results

python results, values = mGA.optimize()

It returns the most optimal result and the parameters associated with this results.

Saving the results

python mGA.saveResults( name, graph, xlabel, ylabel, title )

Non-required parameters: * name : Name of the file/graph which the results will be written (default value is "results") * graph : Specifies whether to create a plot (default value is False) * xlabel : Label of the x-axis on the graph (default value is "Generations") * ylabel : Label of the y-axis on the graph (default value is "Fitness") * title : Title of the graph (default is empty)

[!IMPORTANT] The matplotlib module must be installed to plot graphs