In Infogain eval, the ranking algorithm ranks the features and the threshold parameter can remove the non-informative features (manually) with respect to entropy measure. Can we optimize both simultaneously?
What do you mean by "optimize". If you mean you want to choose the best threshold this will be considered optimization problem and you may need to use heuristic techniques as swarm optimization and anti-colony algorithms.
Hope this help you, if you need further information ..... feel free to ask