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SCOPES
2005
Springer
16 years 12 days ago
Generic Software Pipelining at the Assembly Level
Software used in embedded systems is subject to strict timing and space constraints. The growing software complexity creates an urgent need for fast program execution under the co...
Daniel Kästner, Markus Pister
GECCO
2004
Springer
125views Optimization» more  GECCO 2004»
16 years 9 days ago
Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algorithm applied to a large variety of combinatorial optimization problems. Contrary to evolutionary algorithms ...
Dirk Thierens
MICRO
2002
IEEE
114views Hardware» more  MICRO 2002»
15 years 12 months ago
Characterizing and predicting value degree of use
A value’s degree of use—the number of dynamic uses of that value—provides the most essential information needed to optimize its communication. We present simulation results ...
J. Adam Butts, Gurindar S. Sohi
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 11 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
ICML
1996
IEEE
15 years 11 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos