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» A genetic algorithm for optimizing hierarchical menus
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IEEEPACT
2008
IEEE
13 years 11 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
13 years 11 months ago
Hill climbing on discrete HIFF: exploring the role of DNA transposition in long-term artificial evolution
We show how a random mutation hill climber that does multilevel selection utilizes transposition to escape local optima on the discrete Hierarchical-If-And-Only-If (HIFF) problem....
Susan Khor
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
13 years 11 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 10 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
GECCO
2004
Springer
13 years 10 months ago
On Multi-class Classification by Way of Niching
In recent literature, the niche enabling effects of crowding and the sharing algorithms have been systematically investigated in the context of Genetic Algorithms and are now estab...
Andrew R. McIntyre, Malcolm I. Heywood