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ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 2 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
14 years 3 months ago
Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution
We have already proposed using evolutionary computation to adjust the voice quality conversion parameters, and we have reported that this approach produces results that are not onl...
Yuji Sato
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 4 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
14 years 3 months ago
Three dimensional evolutionary aerodynamic design optimization with CMA-ES
In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
Martina Hasenjäger, Bernhard Sendhoff, Toyota...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 3 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee