ABSTRACT
ELICIT is a generic tool that enables the visual exploration of evolutionary computation algorithms. It is characterized by the use of simple visual elements to represent information and by the adoption of interactive techniques which allow the navigation between different granularity levels, i.e., it allows the visualization of data from single runs as well as the display of aggregated data, resulting from multiple evolutionary runs. Visualization of lineages is supported, assisting the user in understanding how a given solution was reached. It also provides several visualization modes to inspect the genetic heritage and offspring of individuals and populations. The application was built with the purpose of being capable to deal with different types of representation, allowing the visualization of both genotypes and phenotypes. This paper describes the main visualization modes offered by the tool, presenting examples of its application to tree and graph-based representations.
References
- C. Coyne. Context Free Design Grammar. http://www.chriscoyne.com/cfdg/, last accessed in February 2014.Google Scholar
- R. Dinis, A. Simões, and J. Bernardino. Graphea: a 3d educational tool for genetic algorithms. In Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, pages 1293--1300. ACM, 2013. Google Scholar
Digital Library
- T. Egger and A. Kerren. Visualization tool for evolutionary algorithms. Interactive Poster, ACM SoftVis 03, San Diego, CA, USA, 2003.Google Scholar
- E. Hart and P. Ross. Gavel-a new tool for genetic algorithm visualization. Evolutionary Computation, IEEE Transactions on, 5(4):335--348, 2001. Google Scholar
Digital Library
- A. Kerren and T. Egger. Eavis: A visualization tool for evolutionary algorithms. In Visual Languages and Human-Centric Computing, 2005 IEEE Symposium on, pages 299--301. IEEE, 2005. Google Scholar
Digital Library
- A. Leitão, J. C. Neves, and P. Machado. A self-adaptive mate choice model for symbolic regression. In IEEE Congress on Evolutionary Computation, pages 8--15, 2013.Google Scholar
- J. Li and Z. Zhang. Notice of retraction a learning tool of genetic algorithm. In Education Technology and Computer Science (ETCS), 2010 Second International Workshop on, volume 1, pages 443--446. IEEE, 2010.Google Scholar
Cross Ref
- P. Machado, J. Correia, and F. Assunção. Graph-Based Evolutionary Art. In A. Gandomi, A. H. Alavi, and C. Ryan, editors, Handbook of Genetic Programming Applications. Springer, Berlin, 2015.Google Scholar
Cross Ref
- S. Wagner and M. Affenzeller. Heuristiclab: A generic and extensible optimization environment. Springer, 2005.Google Scholar
Cross Ref
Index Terms
ELICIT




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