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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 4 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
14 years 5 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
ICST
2008
IEEE
14 years 5 months ago
Model-Based Tests for Access Control Policies
We present a model-based approach to testing access control requirements. By using combinatorial testing, we first automatically generate test cases from and without access contro...
Alexander Pretschner, Tejeddine Mouelhi, Yves Le T...
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
14 years 5 months ago
Bringing evolutionary computation to industrial applications with guide
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Luís Da Costa, Marc Schoenauer
ETS
2007
IEEE
128views Hardware» more  ETS 2007»
14 years 22 days ago
Selecting Power-Optimal SBST Routines for On-Line Processor Testing
Software-Based Self-Test (SBST) has emerged as an effective strategy for on-line testing of processors integrated in non-safety critical embedded system applications. Among the mo...
Andreas Merentitis, Nektarios Kranitis, Antonis M....