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» An empirical study of optimizations in YOGI
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HAIS
2009
Springer
14 years 8 days ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
CGO
2005
IEEE
14 years 1 months ago
Optimizing Sorting with Genetic Algorithms
The growing complexity of modern processors has made the generation of highly efficient code increasingly difficult. Manual code generation is very time consuming, but it is oft...
Xiaoming Li, María Jesús Garzar&aacu...
ECAI
2004
Springer
14 years 1 months ago
A Troubleshooting Approach with Dependent Actions
Abstract. The basic decision-theoretic troubleshooting task is described in this paper. Dependency sets are defined for a better understanding of dependent actions. It is shown th...
Eylem Koca, Taner Bilgiç
ILP
2004
Springer
14 years 1 months ago
A Monte Carlo Study of Randomised Restarted Search in ILP
Recent statistical performance surveys of search algorithms in difficult combinatorial problems have demonstrated the benefits of randomising and restarting the search procedure. ...
Filip Zelezný, Ashwin Srinivasan, David Pag...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone