Add visualization module plots for continuous optimization

[VicentePerezSoloviev]

It has been shown that other evolutionary algorithms frameworks are developing visualization tools. We need to develop a separate module for this type of functions. Some references here:

[1] Shine, W. B., & Eick, C. F. (1997, April). Visualizing the evolution of genetic algorithm search processes. In Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC'97) (pp. 367-372). IEEE.

[2] De Lorenzo, A., Medvet, E., Tušar, T., & Bartoli, A. (2019, July). An analysis of dimensionality reduction techniques for visualizing evolution. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1864-1872).

I have added a new project in EDAspy in order to track the current implementations and what other plots are suggested to be added. Thanks. Suggestions or concerns are always welcome!

[DaniConZo]

Hey Vicente!

I'm currently working on this issue. I'll develop the following tools for continuous optimization:

Basic plots in Optimization Algorithms:

• Fitness evolution
• Variables evolution of best individual
• Parallel coordinates plot of each generation

New proposed tools:

• Ridge plots of individual variables
• Violin plot of selected individuals each iteration
• Bayesian Network evolution during the EDA run

Search trajectories using LMDS:

• Landmark Multidimensional Scaling to represent the search trajectory of the algorithm.

[VicentePerezSoloviev]

Hi @DaniConZo !! Thanks for this. I will assign you this issue. Let me know if you need any help!

[VicentePerezSoloviev]

Please remember to add some Jupyter notebook to each of the functionalities that you implement, so users can know how to use it. Thanks!