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CEC
2003
IEEE
15 years 7 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
LWA
2004
15 years 3 months ago
Modeling Rule Precision
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
Johannes Fürnkranz
AMOST
2007
ACM
15 years 5 months ago
Using LTL rewriting to improve the performance of model-checker based test-case generation
Model-checkers have recently been suggested for automated software test-case generation. Several works have presented methods that create efficient test-suites using model-checker...
Gordon Fraser, Franz Wotawa
TACAS
2012
Springer
277views Algorithms» more  TACAS 2012»
13 years 9 months ago
Proving Reachability Using FShell - (Competition Contribution)
FShell is an automated white-box test-input generator for C programs, computing test data with respect to user-specified code coverage criteria. The pillars of FShell are the decl...
Andreas Holzer, Daniel Kroening, Christian Schallh...
ATAL
2007
Springer
15 years 8 months ago
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...