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IJAMCIGI
2010
90views more  IJAMCIGI 2010»
14 years 10 months ago
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
Ender Özcan, Mustafa Misir, Gabriela Ochoa, E...
DATE
2009
IEEE
120views Hardware» more  DATE 2009»
15 years 7 months ago
Overcoming limitations of the SystemC data introspection
—Today verification, testing and debugging of SystemC models can be applied at an early stage in the design process. To support these techniques gaining required information of ...
Christian Genz, Rolf Drechsler
98
Voted
AH
2008
Springer
15 years 7 months ago
Towards Computerized Adaptive Assessment Based on Structured Tasks
In an attempt to support traditional classroom assessment processes with fully computerized methods, we have developed a method for adaptive assessment suitable for well structured...
Jozef Tvarozek, Milos Kravcik, Mária Bielik...
122
Voted
ASP
2005
Springer
15 years 6 months ago
A Preliminary Report on Integrating of Answer Set and Constraint Solving
Despite all efforts on intelligent grounding, state-of-the-art answer set solvers still have huge memory requirements, because they compute the ground instantiation of the input pr...
Sabrina Baselice, Piero A. Bonatti, Michael Gelfon...
111
Voted
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 6 months ago
Meta-grammar constant creation with grammatical evolution by grammatical evolution
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
Ian Dempsey, Michael O'Neill, Anthony Brabazon