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» Genetic Algorithms for Component Analysis
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 3 months ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng
ANTSW
2006
Springer
15 years 1 months ago
An Analysis of the Different Components of the AntHocNet Routing Algorithm
Abstract. Mobile ad hoc networks are a class of highly dynamic networks. In previous work, we developed a new routing algorithm, called AntHocNet, for these challenging network env...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...
74
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NPL
2006
100views more  NPL 2006»
14 years 9 months ago
Constrained Projection Approximation Algorithms for Principal Component Analysis
Abstract. In this paper we introduce a new error measure, integrated reconstruction error (IRE) and show that the minimization of IRE leads to principal eigenvectors (without rotat...
Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
WCE
2007
14 years 10 months ago
Optimizing Designs based on Risk Approach
— In this paper a new approach to optimize nuclear power plant designs based on global risk reduction are described. In design the focus is on as components quality as redundancy...
Jorge E. Núñez Mc Leod, Selva S. Riv...