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IJAMCIGI
2010
90views more  IJAMCIGI 2010»
13 years 5 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...
TSE
1998
92views more  TSE 1998»
13 years 7 months ago
Requirements Development in Scenario-Based Design
—We describe and analyze the process of requirements development in scenario-based design through consideration of a case study. In our project, a group of teachers and system de...
John M. Carroll, Mary Beth Rosson, George Chin Jr....
CASES
2004
ACM
14 years 1 months ago
A post-compiler approach to scratchpad mapping of code
ScratchPad Memories (SPMs) are commonly used in embedded systems because they are more energy-efficient than caches and enable tighter application control on the memory hierarchy...
Federico Angiolini, Francesco Menichelli, Alberto ...
ESA
2008
Springer
148views Algorithms» more  ESA 2008»
13 years 9 months ago
Selfish Bin Packing
Following recent interest in the study of computer science problems in a game theoretic setting, we consider the well known bin packing problem where the items are controlled by se...
Leah Epstein, Elena Kleiman
GIS
2009
ACM
14 years 9 months ago
Map Matching and Uncertainty: an Algorithm and Real-World Experiments
A common problem in moving object databases (MOD) is the reconstruction of a trajectory from a trajectory sample (i.e., a finite sequence of time-space points). A typical solution...
Alejandro A. Vaisman, Bart Kuijpers, Bart Moelans,...