A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
Recent work on anonymizing online social networks (OSNs) has looked at privacy preserving techniques for publishing a single instance of the network. However, OSNs evolve and a si...
Smriti Bhagat, Graham Cormode, Balachander Krishna...
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
This paper presents experimental results of fast intrinsic evolutionary design and evolutionary fault recovery of a 4-bit Digital to Analog Converter (DAC) using the JPL stand-alo...
Ricardo Salem Zebulum, Didier Keymeulen, Vu Duong,...
Predicting stability in object-oriented (OO) software, i.e., the ease with which a software item evolves while preserving its design, is a key feature for software maintenance. In...