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EGICE
2006
15 years 5 months ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...
88
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GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 6 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
GECCO
2003
Springer
106views Optimization» more  GECCO 2003»
15 years 7 months ago
Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA
Abstract. Using a well-known cooperative coevolutionary function optimization framework, a very simple cooperative coevolutionary (1+1) EA is defined. This algorithm is investigat...
Thomas Jansen, R. Paul Wiegand
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 3 months ago
Fitness calculation approach for the switch-case construct in evolutionary testing
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
Yan Wang, Zhiwen Bai, Miao Zhang, Wen Du, Ying Qin...
TIP
1998
142views more  TIP 1998»
15 years 1 months ago
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF
Abstract—We propose a method for the reconstruction of signals and images observed partially through a linear operator with a large support (e.g., a Fourier transform on a sparse...
Mila Nikolova, Jérôme Idier, Ali Moha...