This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Abstract. We consider the dynamic feedback problem in a class of hybrid systems modeled as (infinite) state deterministic transition systems, in which the continuous variables are...
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Internet Coordinate Systems (ICS) provide easy and practical latency predictions in the Internet. However, peer dynamics (i.e, churn), which is an inherent property of peer-to-peer...