We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
In this paper we describe a design exploration methodology for clustered VLIW architectures. The central idea of this work is a set of three techniques aimed at reducing the cost ...
Marcio Buss, Rodolfo Azevedo, Paulo Centoducatte, ...
Structuring and mapping of a Boolean function is an important problem in the design of complex integrated circuits. Libraryaware constructive decomposition offers a solution to th...
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...