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IJON
2008
101views more  IJON 2008»
15 years 21 days ago
Learning dynamics and robustness of vector quantization and neural gas
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...
Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbar...
80
Voted
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 6 months 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
89
Voted
GECCO
2004
Springer
15 years 6 months ago
On the Choice of the Population Size
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...
Tobias Storch
138
Voted
ACST
2006
15 years 2 months ago
An efficient search algorithm for partially ordered sets
Consider the problem of membership query for a given partially ordered set. We devise a greedy algorithm which can produce near-optimal search strategies. Rigorous analysis has be...
Yan Chen
84
Voted
EUSFLAT
2001
15 years 2 months ago
Evidence theory for data co-exploitation. Application for service life assessment of building products
An original method for service life assessment of building products is proposed. In addition to a rigorous analysis and system modelling, "Evidence Theory" is adapted an...
Jérôme Lair