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» Evolutionary Approach to Test Generation for Functional BIST
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GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
14 years 27 days ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
SAC
2004
ACM
14 years 1 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Motif kernel generated by genetic programming improves remote homology and fold detection
Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and ...
Tony Håndstad, Arne J. H. Hestnes, Pål...
ICANN
2005
Springer
14 years 1 months ago
Evolution of Heuristics for Give-Away Checkers
The efficacy of two evolutionary approaches to the problem of generation of heuristical linear and non-linear evaluation functions in the game of give-away checkers is tested in th...
Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk
SBCCI
2005
ACM
185views VLSI» more  SBCCI 2005»
14 years 1 months ago
Automatic generation of test sets for SBST of microprocessor IP cores
Higher integration densities, smaller feature lengths, and other technology advances, as well as architectural evolution, have made microprocessor cores exceptionally complex. Cur...
Ernesto Sánchez, Matteo Sonza Reorda, Giova...