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ENTCS
2006
136views more  ENTCS 2006»
13 years 9 months ago
Adaptive Application of SAT Solving Techniques
New heuristics and strategies have enabled major advancements in SAT solving in recent years. However, experimentation has shown that there is no winning solution that works in al...
Ohad Shacham, Karen Yorav
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 2 months ago
A new evolutionary method for time series forecasting
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...
CIARP
2007
Springer
14 years 29 days ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
14 years 1 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
IROS
2009
IEEE
170views Robotics» more  IROS 2009»
14 years 3 months ago
Optimal trajectory design for parametric excitation walking
— Parametric excitation walking is one of methods that realize a passive dynamic like walking on the level ground. In parametric excitation walking, up-and-down motion of the cen...
Yoshihisa Banno, Yuji Harata, Kouichi Taji, Yoji U...