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GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 10 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
138
Voted
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 10 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 10 months ago
Steady-state ALPS for real-valued problems
The objectives of this paper are to describe a steady-state version of the Age-Layered Population Structure (ALPS) Evolutionary Algorithm (EA) and to compare it against other GAs ...
Gregory S. Hornby
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
15 years 10 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
CF
2009
ACM
15 years 10 months ago
Strategies for dynamic memory allocation in hybrid architectures
Hybrid architectures combining the strengths of generalpurpose processors with application-specific hardware accelerators can lead to a significant performance improvement. Our ...
Peter Bertels, Wim Heirman, Dirk Stroobandt
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