On the design of an ECOC-Compliant Genetic Algorithm
A novel Genetic Algorithm to optimize the ECOC coding step is presented. The crossover and mutation operators are redefined taking into account the ECOC properties. A new operator that is able to extend the ECOC code is developed. We introduce a novel regularization parameter that is able to control the number of dichotomies.
ecoc genetic algorithms multi-class classification