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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 28 days ago
Evolutionary optimization of dynamic control problems accelerated by progressive step reduction
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control var...
Q. Tuan Pham
DICTA
2008
13 years 8 months ago
GPU Accelerated Multimodal Background Subtraction
Although trivial background subtraction algorithms (such as temporal averaging) can execute quite quickly, they do not give useful results in most situations. More complex algorit...
Peter Carr
IEEEICCI
2009
IEEE
14 years 2 months ago
An attribute reduction approach and its accelerated version for hybrid data
In practical issues, categorical data and numerical data usually coexist, and a unified data reduction technique for hybrid data is desirable. In this paper, an information measu...
Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
SBIA
2004
Springer
14 years 23 days ago
Heuristically Accelerated Q-Learning: A New Approach to Speed Up Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Q–Learning (HAQL), that allows the use of heuristics to speed up the well-known Reinforcement Learning algori...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
GECCO
2010
Springer
148views Optimization» more  GECCO 2010»
14 years 6 days ago
Guarding against premature convergence while accelerating evolutionary search
The fundamental dichotomy in evolutionary algorithms is that between exploration and exploitation. Recently, several algorithms [8, 9, 14, 16, 17, 20] have been introduced that gu...
Josh C. Bongard, Gregory S. Hornby