: It has been successfully applied to specialized fields such as bioinformatics (e.g., predicting flexible-receptor molecular docking data and gene expression analysis) where custom-tailored models are critical. Related Resources
: Evolutionary Computation (MIT Press), Volume 21, Issue 4, November 2013 Summary of Research Automatic Design of Decision-Tree Induction Alg...
The seminal work on the is a paper by Rodrigo C. Barros, André C.P.L.F. de Carvalho, and Alex A. Freitas. It introduces a hyper-heuristic evolutionary algorithm called HEAD-DT that automatically evolves the best components (such as split criteria and pruning methods) to create a tailored decision-tree algorithm for specific datasets. Key Article Details : It has been successfully applied to specialized
: Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms André C.P.L.F. de Carvalho
: Rodrigo C. Barros, Márcio P. Basgalupp, André C.P.L.F. de Carvalho, and Alex A. Freitas