一种观察群体算法迭代过程中个体遗传变化的视觉机制matlab代码.zip

# population-evolution A visual mechanism to observe individuals' genetic changes over iterations on population algorithms [](https://doi.org/10.5281/zenodo.11107044)  This MATLAB function allows the user to observe the evolutive progress of its solutions population. It produces a bar plot figure, which updates at generation steps, with the following axis: - x-axis: Individuals - y-axis: Variables - z-axis: Values The function runs after the syntax: [populationEvol] = popevol(pop, maximal_generation, population_size) In which the input arguments are: - pop = A matrix with all the individuals generated over all the generations, so the number of rows is the number of individuals times the number of generations. - maximal_generation = the number of max generations untill the algorithm stops. So the function knows the number of times to update the plot - population_size = the number of individuals per generation. To enable the plot to group each population to its respective generation correctly. The function generates a video file called "popevol", saved in the current folder where the code runs from.