First step in GA is to represent the input in a sequence of characters. The encoding used is value encoding by giving each gene in the chro

Calculating the fitness of a single solution. The fitness is basicly calculated using the sum of absolute difference between genes va

This method calculates the fitness of all solutions in the population.

Converts a 1D vector into an array. vector: The vector to be converted into an array. shape: The shape of the target array.

Applying crossover operation to the set of currently selected parents to create a new generation.

Calculating the fitness value for a solution in the population. The fitness value is calculated using the sum of absolute difference betwee

Represents the image as a 1D vector. img_arr: The image to be converted into a vector. Returns the vector.

First step in GA is to represent/encode the input as a sequence of characters. The encoding used is value encoding by giving each gene in t

Creating an initial population randomly.

Applying mutation by selecting a predefined percent of genes randomly. Values of the randomly selected genes are changed randmly.

Saving best solution in a given generation as an image in the specified directory. Images are saved accoirding to stop points to avoid savi

Selects the best individuals in the current generation, according to the number of parents specified, for mating and generating a new bett

Show all individuals as image in a single graph.