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GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
14 years 19 days ago
gLINC: identifying composability using group perturbation
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...
David Jonathan Coffin, Christopher D. Clack
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 2 months ago
On the complexity of hierarchical problem solving
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
CASES
2001
ACM
14 years 19 days ago
Tailoring pipeline bypassing and functional unit mapping to application in clustered VLIW architectures
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, ...
DAC
2003
ACM
14 years 10 months ago
A new enhanced constructive decomposition and mapping algorithm
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...
Alan Mishchenko, Xinning Wang, Timothy Kam
AAAI
2007
13 years 11 months ago
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
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...
Matthew E. Taylor, Shimon Whiteson, Peter Stone