A visual mechanism to observe individuals' genetic changes over iterations on population algorithms
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A visual mechanism to observe individuals' genetic changes over iterations on population algorithms
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.
인용 양식
Heictor C. (2026). population-evolution (https://github.com/Heictor/population-evolution/releases/tag/1.0), GitHub. 검색 날짜: .
Costa, Heictor Alves de Oliveira. Population-Evolution. Zenodo, 2024, doi:10.5281/ZENODO.11107044.
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.0 |

